Degree: BSc/MSc Mathematics, PhD Current job title: Lecturer/Assistant Professor Applied Mathematics
I got a PhD in Pure Mathematics in 2010 from University of Naples Federico II. From 2011, my interests moved from Pure to Applied Math, working as Financial Analyst in the department of Derivatives Pricing and Financial Risk Management at Prometeia SpA, (IT). From Sept 2016 I joined UCD as Assistant Professor in Financial Mathematics.
The industrial experience has been essential to foster my personal and professional growth and to become the professional I am today. I designed and led the establishment of 3 new programmes: the BSc in Financial Mathematics (FM), the MSc in FM, the Professional Certificate in FM. From 2017, I am the Programme Director of the BSc in FM. I established partnerships with several industries (AIB, Citibank, Grant Thornton, FinCad, Murex, SIG, IMC Trading).
My research span from Financial Mathematics & Computational Finance to Financial Mathematics Education. I am investigating innovative Machine Learning techniques to measure early prepayment risk in mortgages. I am investigating how undergraduate students make sense of connections between computing and financial mathematics via tailored student-led activities. I am an active member of the UCD Women in STEM group. I am the UCD Representant at the national Campus Engage Community Engaged T&L Committee.
Degree: BSc Theoretical Physics Current job title: Lecturer/Assistant Professor Applied Mathematics
I am a Lecturer/Assistant Professor of Applied Mathematics at UCD. I work in the area of mathematical neuroscience, which is a highly interdisciplinary field that harnesses the power of mathematics to solve important problems in neuroscience. My interest in mathematical neuroscience, or biology more generally, was piqued during my undergraduate degree in Theoretical Physics at Trinity College Dublin (TCD). I wanted to learn more and decided to pursue a PhD in mathematical neuroscience with Stephen Coombes at the University of Nottingham.
Towards the end of my PhD I met John Rinzel at a conference. We chatted in the pub one evening after the conference about our work and mutual interests. A few months later I contacted him about postdoctoral opportunities and he offered me a position at New York University (NYU). After two amazing years in New York, I was ready to move home and was delighted to be offered a position in UCD in 2019.
I love my job, I love the combination of teaching and researching. However, work is not my entire life and I think that it is important to highlight that academics have lives outside of work. I play GAA, I’m training for my first triathlon and my first marathon this year, and I also manage to squeeze in spending time with my family and friends.
Current studies: BSc Actuarial & Financial Studies
I am a final year student in the Actuarial and Financial Studies course at UCD. I stumbled upon the BAFS degree as I was looking for a course where I could further develop my knowledge of mathematics and statistics, while also looking at more practical applications of these methods, including modelling using statistical software such as R and Python. What drew me to a mathematical degree was the opportunity for challenge and growth that it presents, whether that be in exploring new areas of mathematics and statistics or looking at applications of familiar areas in the financial industry. Not only has my love of mathematics and statistics strengthened over the 4 years at UCD, I also developed an interest in the insurance industry, particularly specialty insurance, during my third year work placement at SCOR Syndicate in London. During my placement I enjoyed seeing how the actuarial methods taught at UCD translated into insuring against a wide array of risks from event cancellations to fine art to terrorism and everything in between. I am currently looking forward to returning to London in September to start my role as an Actuarial Graduate at Asta, the largest third-party managing agent in the Lloyd’s market.
Back in school, I never would have thought I'd be where I am now, with a degree in Applied and Computational Mathematics; I had never really considered maths at a higher level as something I could be capable of, even though I enjoyed it. I was lucky enough to have a wonderful female maths teacher who really pushed us to look at maths as a toolbox and a way of communication rather than just a set of rules to learn off, and that mindset along with her passion is something that's stuck with me since. In college when there were only a handful of other women scattered throughout the mathematics department, and when it took until third year of my degree to get to study under a woman in maths, I think having had a bit of a role model in that teacher helped me feel like I had a right to be in the field. I started out in first year with mostly physics and chemistry modules but over the years found that I kept enjoying the maths modules so much more, particularly those which overlapped with the biological and meteorological sciences. I hope to pursue this line of interest with postgraduate study - whether or not I feel like an odd one out still, it's important to push through that when it's something you love.
Degree: BSc Applied and Computational Mathematics and Statistics, MSc Mathematics with Data Science Current job title: Data Science Analyst in Accenture's Applied Intelligence group
I hold a BSc in ACM and Statistics from UCD, and an MSc in Mathematics with Data Science for Industry from the University of Bath. My Msc research involved collaboration with the health tech sector and the training of algorithms for the prediction of cancer symptoms. I am currently employed as a Data Science Analyst in Accenture's Applied Intelligence group. My work involves consulting and providing AI, ML, and Data Engineering solutions to a diverse client base but primarily to Financial Institutions.
Navigating the field of Mathematics as a woman can be challenging, but I've witnessed significant progress in representation over the past 5 years. Yet, we still grapple with the perception of women in Mathematics beyond our community. It's crucial to educate others on the diverse and essential roles women play within Mathematics. To students, my advice is to remember that everyone has ‘Imposter syndrome’ at times, and to have faith in yourself and your abilities. Confidence is key!
Degree: BSc Theoretical Physics, PhD Maths Education Current job title: Assistant Professor in Mathematics
After graduating with a degree in Theoretical Physics from UCD, I spent some time travelling and began a funded PhD in London in Mathematical Biology. Unfortunately, three months in, I realised I really wasn’t enjoying it and decided to change track. I studied to become a teacher and spent over three years teaching Mathematics, Physics and Applied Maths, while also doing fun things like touring with a band. I had the opportunity to then do a funded PhD in Trinity College Dublin in Mathematics Education and undertook this while also continuing to work as a science communicator. Through sheer luck a position came up here in the School of Mathematics & Statistics just as I finished my PhD in 2014 and I’ve been here since. My research is in the field of mathematics education, focusing primarily on teacher education. I also enjoy continuing my science communication work and public engagement initiatives such as the ‘Role Models in pSTEM: You can be what you can see’ video project. I was invited to Chair the Citizens’ Assembly on Biodiversity Loss in 2022 and am currently enjoying communicating this work and advocating for the recommendations citizens have made to the Oireachtas in 2023. In my role as director of the BSc. Science, Mathematics & Education I want to make sure that graduates make positive contributions to the education system and enthuse more young people to enjoy their mathematical learning.
My name is Beatriz Barbero Lucas, and I am currently a PhD student at the School of Mathematics and Statistics. Originally from a small village in Spain, I earned my Bachelor's degree in Mathematics from the University of Salamanca and my Master's degree in Advanced Mathematics and Mathematical Engineering from UPC Barcelona-Tech. For my Bachelor's thesis, I focused on Network Science and its applications to disease spreading, while my Master's thesis explored the field of Noncommutative Algebra. Additionally, I completed two research internships related to post quantum cryptography at the Institute for Physical and Information Technologies (ITEFI) and the University of Alcalá de Henares.
Now, during my PhD studies, I am working on applying techniques from Algebraic Geometry to Coding Theory. Specifically, I am searching for certain curves that can provide good parameters for algebraic-geometry codes. I have always had a passion for mathematics, and during my undergraduate studies, I discovered my true calling. Along my journey, I have had the privilege of meeting wonderful women who have served as colleagues and mentors, and who have inspired me to pursue a research career. Although it has been challenging, I am incredibly proud of what I have accomplished so far.
Degree: BSc Mathematics Current job title: Financial risk analyst at the National Treasury Management Agency (NTMA)
Studying maths at UCD was a great experience, it was very rewarding and I have a lot of fond memories! The lecturers were so enthusiastic and helpful, which I really appreciated. The courses developed my problem solving and critical thinking skills, which has been a great asset, especially in the workplace. Although the degree was challenging, the supportive lecturing style meant that I grew in confidence in my abilities, which has also been very helpful in the workplace. Following my BSc Mathematics I completed an MSc in a related field and then started working in financial risk. The degree was a very solid foundation which left open a lot of different avenues in terms of further study or jobs. My BSc Mathematics has also been beneficial in a wider sense as strong logical thinking and problem solving abilities are also very helpful general life skills!
Degree: BSc Mathematical Science Current job title: Global Head of Capital and Liquidity Risk, HSBC
I thoroughly enjoyed my time in UCD studying Mathematical Science, graduating in 2005 with a first class honours degree as well as lifelong friends. Keen to get out in the working world I joined Ulster Bank in their risk management department, where I could apply the logic and statistical skills acquired from my degree. I finished the graduate programme in Germany, following which I moved to ABN AMRO based in Amsterdam. There I was responsible for analysing risk management across Europe and the Middle East. I then returned to Ulster Bank where I took on management role in the modelling department, this of course was directly linked to my studies. In this role I quickly learned that it was not the mathematical skills in isolation that were required to succeed, rather it was the ability to communicate complex mathematics to management in a meaningful way. In 2011 I joined HSBC in London in their finance department, focusing on the calculations of the banks capital and liquidity requirements and optimising same to meet the bank’s, regulators’ and shareholder’s needs. In 2020 I became Managing Director and is transitioning from Global Head of Capital and Liquidity Risk to Global Head of Risk Management Framework.
Current studies: BSc Actuarial and Financial Studies
I chose to study Actuarial and Financial Studies in UCD because I have always enjoyed problem solving and critical thinking. This course has given me the opportunity to build on the analytical skills and knowledge I had from school, particularly in the areas of statistics and calculus. In the later stages of the programme, I have seen how to apply what I have learned to real-world scenarios in areas such as economics, finance and data science. Seeing this progression of skills has been a rewarding and enjoyable aspect of the course.
The six-month work placement, completed in third year, is a great opportunity to gain first-hand experience in an actuarial role. I did my placement at an actuarial consultancy firm, where I had the chance to work on a variety of projects across the life, non-life and health insurance sectors. After college, I plan to return to the same company as a graduate and begin the professional exams.
Degree: BSc in Mathematics, MSc in Data and Computational Science Current studies: PhD student
I am a second-year PhD student in the School of Mathematics and Statistics. I have always loved maths; it was my favourite subject in both primary and secondary school. In 2016, I came to UCD to do my undergraduate degree, a B.Sc. in Mathematics. In final-year, I took some statistics modules, which is when I discovered my love for statistics. In 2020, I continued my studies at UCD by pursuing a M.Sc. in Data and Computational Science, which I enjoyed immensely. During my M.Sc., I completed a three-month long research project, which sparked my interest in research, leading to me applying for a PhD position.
Throughout my first year, I worked on short-term research projects, including Aquaculture Meets Artificial intelligence and Fostering Sensemaking in Financial Mathematics. I also had the opportunity to undertake an industry placement at Novartis, where I was extracting disease trajectories from the UK Biobank pertaining to heart failure, via the ClinTrajan algorithm.
In my second year, I began my PhD research in the area of statistical network analysis, specifically, latent variable models to cluster collections of networks. Currently, my research is focused on developing an extension to the well-known latent space model that clusters a collection of networks. I have always been one of few women in the classroom and I am excited to do my part to help change that for future students in the School of Mathematics and Statistics. I feel very lucky to have spent over 6 years at UCD, having had the opportunity to learn from some inspiring female lecturers/professors in the School of Mathematics and Statistics.
Degree: BSc Applied and Computational Mathematics Current studies: PhD Student
I am a PhD student in Frederic Dias wave group. I am investigating the effect of meteorological conditions on water waves and sea state. This is done through both experimental investigations and analysis, as well as using numerical simulations. Starting during the pandemic caused some setbacks at the start of my PhD journey, however, I have overcome this and am now happily working away.
I completed my undergraduate degree here in UCD, in Applied and Computational Mathematics in 2019. I particularly liked studying fluid mechanics and other calculus based modules. After a year out I started my PhD in September 2020. I enjoy how my research varies between field work and desk work. It is fascinating gathering data from the natural environment and analysing the data to understand real-life phenomena.
I also enjoy tutoring in the school and working in the Maths Support Centre. I started tutoring for both of these during my undergraduate and happy to still have these roles during my postgraduate studies. Teaching others helps me to improve my mathematics and remember why I love the subject.
Degree: BA (Mod) Mathematics, PhD in Statistics Current job title: Professor
I have been a Full Professor in the UCD School of Mathematics and Statistics since 2020, having joined UCD in 2006. I graduated with a BA (Mod) Mathematics and a PhD in Statistics from Trinity College Dublin. During my doctoral studies I spent five months as a Visiting Scholar in the University of Washington Seattle, USA.
My research interests broadly include latent variable models, computational statistics and Bayesian statistics. My research to date has developed new, specialised statistical methods which have been applied in a wide range of fields, varying from social science, to agriculture, to medicine. I enjoy working in collaborative projects in which a real, applied problem gives rise to the need for a novel, specialised statistical method. I enjoy working with PhD students on these research problems.
I teach a range of statistics modules at undergraduate and graduate level, and also teach modules online.
I am Mammy to three lovely little boys who are good fun and keep me busy. I enjoy a run or a cycle in the hills for some downtime.
My name is Claire Mullen. I am a third year PhD student in the School of Mathematics and Statistics researching university mathematics support engagement and evaluation under the supervision of Dr Anthony Cronin. In my research I use both qualitative and quantitative analysis methods to explore how the Maths Support Centre here at UCD, and other support provisions elsewhere, impact students. A key part of my PhD is setting up and running a program called MathsFit which supports first year students at the start of their first UCD mathematics module. I studied the effect of mathematics support moving online and then moving to both in-person and online: this has generated three journal publications.
Before my PhD I completed a BSc in Mathematics, Applied Mathematics and Education, also at UCD. I enjoyed learning mathematics and educational theory. I started work in the Maths Support Centre at the start of the third year of my degree. I also had opportunities to do research internships during the summers of the latter years of my BSc and that led me to pursue a PhD.
I am a second year mathematics student. During my time at UCD, I have very much enjoyed Groups, Rings and Fields; Linear Algebra 2; and Numbers and Functions, modules about algebraic structures, linear operators and matrices, and number theory, respectively. I have received UCD’s Stage 2 Scholarship for Applied and Computational Mathematics, for my achievements during my first year of college.
My experience in mathematics is varied. I have worked on number theoretic problems, as I have enjoyed working on many of the Euler project’s problems. I was instrumental in developing the mathematical models that helped a colleague with his work on natural language processing. Category-theoretic problems are also a love of mine, as much as I struggle to understand them.
In the future, I am looking to use my love of mathematics in my career path. I would love to go into research, and am considering going into academia to that end.
Degree: BSc Climate and Earth Systems Science, PhD Current job title: Modelling Analyst at ESB Generation and Trading
I have always been interested in the real-world application of meteorology to areas like renewable energy or other industries. While studying meteorology I used maths to model the fluid dynamics of the atmosphere and oceans, then I completed a PhD in forecasting for renewable energy.
My research gave me the perfect opportunity to apply my knowledge to the important fields of forecasting, climatology and renewable energy. My background in maths gives me skills in problem solving and logical thinking that are transferable to so many fields and professions.
Currently I work as part of a modelling team for energy trading, which is a hot topic these days. Maths is the foundation of my work. On a daily basis I use large amounts of data to build both predictive models and analytical solutions to inform business decisions. Every day I use maths to predict the future and that’s exciting!
My name is Eibhlín Roebuck, and I am a third-year undergraduate studying Financial Mathematics. I chose to study Science because Maths was my favourite subject in secondary school, and this course offered a lot of types of Maths that I could study. I was awarded the Ad Astra Academic scholarship based on my Leaving Certificate results, and I have maintained this scholarship through my hard work and dedication to my programme. I have thoroughly enjoyed the variety of modules available with my course.
I have an internship in summer for a Quant Analyst role, and I hope that I can continue with this sort of work in the future, combining both my analytical and interpersonal skills to work with customers.
I recently received the BSc (Financial Mathematics) Stage 3 Scholarship based on my academic achievements last year, and I have learned to use these awards as motivation to continue to excel, in both my studies and my future work.
Degree: MSc Mathematics, PhD Current job title: Associate Professor in Mathematics
I am an Associate Professor in Mathematics and have been with UCD since 2004. I did my PhD in University College Cork and spent some as a visiting scientist at the University of Notre Dame and Aalto University. I really enjoy my work as an academic and mathematician. Aside from the technical side, I've met many interesting people, made some great friends and traveled a lot.
I'm very interested in discrete mathematics and applications of algebra, especially algebraic coding theory. Codes are interesting as mathematical objects to study in their own right, but they also have lots of uses in digital communications, like satellite communications, mobile networks, and cloud storage. It's an ever evolving topic so there are always many problems to solve. One of the things I like about coding theory is that it crosses different disciplines, like computer science and electrical engineering and is really used as part of daily life. It's also great for energy conservation. I wasn't sure what I wanted to do when I finished my MSc in Mathematics, but coding theory seemed like a topic with a lot of possible career paths, so I decided to do a PhD in it when an opportunity came up. I haven't looked back since. I have now just started to run a doctoral programme in coding theory with a group of academics across different countries in Europe. It will be very exciting to train a new generation of mathematicians to become experts in this challenging and interesting field.
Current studies: BSc in Applied and Computational Mathematics and Statistics
I am a Stage 3 UCD undergraduate studying for a joint major BSc in Applied and Computational Mathematics and Statistics. Throughout secondary school I had a strong interest in mathematics. This was nurtured by my teachers who provided encouragement, challenged me, and encouraged participation in mathematics and science related extra-curricular opportunities. For example I was a member of the Irish Maths Teachers Association (Midlands Branch) Team Maths Competition winners in 2020.
Whilst I knew I wanted to pursue mathematics at third level I was unsure of which field and career path. Thus I selected the Mathematics, Physics and Geology stream within the DN 200 Science Degree Programme in UCD. Exposure to the various mathematics modules has assisted me in determining that a career in Data Analytics is where my future lies. My mathematics skills have assisted me in my retailing, hospitality and accounting assistant roles to date. Most recently, I was a Summer Data Intern with Ardonagh Analytics Lab, Mullingar. This entailed using a variety of tools and query techniques, to collect, interpret and present data sets to identify business opportunities / meet customer needs. It enabled me to apply the knowledge and skills that I acquired in UCD, work collaboratively with a diverse group of Data Analysts and Scientists and further enhance my skills. These experiences confirm that Data Analytics is the career path for me.
Degree: Currently in final year of Applied and Computational Mathematics
I’m in my final year of the Applied and Computational Mathematics (ACM) degree. I’ve really enjoyed my four years studying here in UCD, starting out in first year in science before specialising into ACM in third year. I chose ACM because I love being able to use maths to solve real world problems.
One of my favourite applications I’ve seen is in mathematical biology, where we modelled population dynamics, tumour growth and pattern formation on animal coats. My final year research project is modelling wave height using pressure measurements taken on the seabed. This is my second project in fluid dynamics as I undertook a summer research project in 2021 in UCD.
I have also seen maths being used in the financial sector as I did an internship with a trading firm during summer 2022.
My plan for next year is to explore more ways that maths can be used to explain the world around us through a masters in mathematical modelling and scientific computing in the University of Oxford.
Degree: BA in Mathematics, MSc in Mathematical Science, PhD in Data Analytics & Mathematics Education Current job title: Lecturer at Trinity College Dublin
My journey in UCD started when I took the MSc in Mathematical Science. Afterwards I went into industry to work for KPMG as a trainee auditor. However, it was not for me, and I returned to UCD to complete my PhD in Data Analytics and Mathematics Education. The thesis is entitled: Learning Analytics and Mathematics Education: Complementary approaches to supporting non-specialist students at undergraduate level.
After my PhD, I worked as postdoctoral researcher on a project to establish a national standardised database for Irish higher education student counselling services. The role involved a lot of data management skills. For example, communicating with different stakeholders, collaborating with UCD Legal to draw up data sharing agreements, and liaising with ethics committees and data protection officers.
The next step of my career was becoming a lecturer; first at UCD and now at TCD. My research background of data analytics and education supports my lecturing, and my lecturing supports my research. My research studies have included: “The university mathematics lecture: to record, or not to record, that is the question”, “Epidemiology of mental health difficulties in young people”, “Live lectures or online videos: students’ resource choices in a first-year university mathematics module”, and “Contrasting prediction methods for early warning systems at undergraduate level”.
Degree: BSc Theoretical Physics Current job title: Actuarial Consultant at Finalyse
My name is Evelyn and I work as an actuary. I studied Theoretical Physics then sat the actuarial exams after university, alongside working in the insurance sector. I have found the actuarial career path very fulfilling. It allows me to see the value maths can add in a real world environment and to learn about broader topics like investments and economics. It’s a role where females receive equal respect for their abilities and I have always had female leaders in my workplace to look up to. The men know from their university days that the females are equally or more competent!
At school, I had a strong aptitude for maths and I enjoyed physics. The Theoretical Physics course in UCD was the perfect fit. I thoroughly enjoyed the array of interesting subjects and the environment in UCD. I learned how to problem solve and think outside the box; to break down complex problems and tackle things from first principles. This training helps me, to this day, to see the big picture and build pragmatic solutions.
Current studies: BSc in Mathematics, Biology and Education
I am an undergraduate studying Mathematics and Biology Education at UCD. I have loved and enjoyed mathematics from a young age. I had some amazing female maths teachers that encouraged this passion. Entering UCD, I knew I wanted to study something maths-related, but I had no idea what.
After completing an education module, I realised that teaching maths was the career for me. In my studies, I get to learn lots of interesting maths topics. I balance this learning with practical teaching experience. My degree gives me the delightful opportunity to work closely with local secondary schools and share my love for maths with enthusiastic students. There are lots of other women in the mathematics education course. We have lots of fun discussing both mathematical problems and stories from the classroom!
Representation is so important for women in mathematics. That is why I have chosen a path that will allow me to be a part of that representation for young women. I hope that I can foster a love for maths in my students. In my future career, I aspire to encourage more young women to pursue maths. I hope to do this in my own classroom and through larger-scale promotional programs.
Degree: BSc Mathematics, MSc Mathematics, PhD Current job title: Associate Professor in Mathematics
After I completed my undergraduate and graduate studies at University of Ljubljana, I became a postdoctoral fellow first at Hamilton Institute in Maynooth University, and then at University College Dublin. I hold a permanent position in the School of Mathematics and Statistics in UCD since 2007.
The core of my research is in matrix theory. I investigate the interplay between structural and spectral properties of matrices. This work calls upon methods not only from linear algebra, but also combinatorics, number theory, and analysis. I particularly treasure the collaborative aspect of my research, as it not only makes the advances faster and deeper, but it also makes research more fun.
Degree: BSc Mathematical Statistics, MSc Statistics, PhD Current job title: Assistant Professor in Statistics
I have always been passionate about Mathematics and I wanted to get a degree that would allow me to open up various possibilities. I therefore pursued an Italian-French Double BSc in Mathematical Statistics at the University of Genoa (Italy) and Nice (France). After graduating in 2006, I moved to Bologna to study for a MSc in Statistics. I won a scholarship to work on my thesis at ESSEC in Paris. This wonderful experience led me to the decision of doing a PhD so, in 2008, I joined UCD where I developed latent variable models to infer the connectivity structure of networks and identify clusters in complex categorical data. After obtaining my PhD in 2012, I expanded my research activity working as a postdoc in multidisciplinary groups in Maynooth, implementing spatial models, and in Bristol, introducing risk assessment methods for natural hazards. I then joined Birkbeck, University of London as a lecturer in Statistics, and I came back to UCD in 2017 where I focused on the development of statistical methods involving cross-disciplinary collaborations. I have been very lucky to have excellent role models in my career, and I decided to pay it forward by promoting diversity in the Statistics community.
Degree: BSc Mathematics and Economics, MSc Statistics Current studies: PhD Student
As a woman born and raised in a developing country, I never even thought about pursuing a research career growing up. Research simply wasn’t something that people around me did for a living, and the situation hasn’t changed much since then. I was lucky to have a chance to move to the UK on my own in my middle teens, and this experience has shaped my personality and my aspirations. Whilst at university, I started developing an interest in research in statistics thanks to enthusiasm and passion of some academics, so I completed a research internship after my second year. Just like that I found myself thinking of getting a PhD in statistics and pursuing a research career. Getting approval and support from my family was quite a challenge as such ideas were very alien to them, but after some time they started to realise that their perception of research and statistics, especially outside of my home country, was not necessarily correct. Despite facing significant obstacles in finding a fully-funded PhD position due to my nationality and non-EU status, as the pandemic resulted in substantial research funding cuts, I am currently in my third year of PhD in Statistics at UCD - nothing is impossible if you put your mind to it.
Degree: BSc Applied and Computational Mathematics Current job title: Cyber Risk Analyst at Deloitte
When I started studying maths I struggled a lot with confidence. It would often happen that I was the only girl in a lecture, or that there were more ‘Cians’ than girls in a class. What came with this was the feeling that by being present I was representing all women. I believed that answering a question wrong would lead others to the conclusion that 1. I was bad at maths, and 2. All women were bad at maths. The solution to this was to never answer any questions. Already, I was at a disadvantage, as I wouldn’t speak up if I didn’t understand something. I remained in this mindset for the next 3 years of my degree. I loved maths and I was getting good grades, but I was so anxious about doing well that I never felt like I was succeeding. In fourth year, I applied for ‘Reduced Workload’ and immediately felt better. I was able to spend more time on the work, and really enjoy the maths I was learning. I challenged myself to speak up in classes, first asking simple things (“Is that a ρ or a p?”) and building up to asking deeper questions.
I was also inspired by the women around me. Friendships with the other girls in the course allowed me to feel understood and supported, and an amazing (although small) group of female lecturers were role models who were not only engaging and encouraging teachers, but also mathematicians at the top of their field. I started to think that maybe women are not as good as men at maths... Maybe they are better.
Degree: BSc Physics & Astrophysics, MSc Data & Computational Science Current studies: PhD Student
My name is Kate and I am in the second year of my PhD in the school of Mathematics and Statistics. I started my academic career by studying astrophysics, before switching my focus to statistics and data science. I hold a bachelor’s degree in Physics and Astrophysics from Trinity College Dublin, during which I found that I most enjoyed the analytic and coding aspects of the degree. I then decided to pursue a master's degree in Data and Computational Science from UCD to further develop those skills. During my master's I really appreciated how my skills could be applied to many different areas. For my PhD I am now researching missing data imputation techniques using Bayesian methods, with applications to metabolomics. I like that I get to develop statistical models with the knowledge that my work will be used by metabolomic scientists for their research - I think it's great that maths is used across the sciences, so any research I do can be useful in many different fields. I love my job and a part of that is the network of women in maths here at UCD and across Ireland who study a wide array of different topics and are making impressive contributions to their respective fields.
From a very young age, Maths has been my favourite topic in school and this has continued throughout my education. When it came to choosing my undergraduate degree, I was intrigued by the Bachelor of Science (Maths and Physics stream) in UCD that offered me the chance to study a broad range of modules at the start and eventually specialise in my chosen stream. Through this system, I became fascinated by the subject of Statistics as it brought real life analysis and understanding to mathematical concepts I had previously studied. I really enjoyed the practical applications of Statistics in a wide range of fields, from healthcare to education to finance. Overall, my time at UCD has been an incredibly rewarding experience, and I am proud to be graduating with a degree in Mathematics, specializing in Statistics. Next year, I will be joining EY’s graduate programme within their Data Analytics team. I feel well-equipped for my future career, and I look forward to applying my knowledge and skills in the real world.
Degree: BSc ACM & Statistics, MSc Actuarial Science Current job title: Actuarial Consultant at Deloitte
During my time at UCD, I completed a degree in Applied Mathematics and Statistics, which was a natural choice for me as I've always been drawn to math-based subjects. I developed a wide range of analytical skills and learned how to use data to make informed decisions and solve real-world problems. This experience inspired me to pursue a Master's degree in Actuarial Science, where I gained specialised knowledge in risk management.
Recently, I completed my Actuarial exams and am now working as an Actuary. In this role, I use the skills and techniques I learned in both my undergraduate and Masters every day, from general analytical techniques to more specialised actuarial techniques.
I am grateful for my education at UCD, as it has provided me with a solid foundation of knowledge and skills that I continue to build upon every day.
Degree: BSc in Theoretical Physics, MSc Applied Mathematics Current job title: Postdoctoral Fellow at the Center of Gravitional Physics, University of Texas, Austin
I am currently a Postdoctoral Fellow at the Center of Gravitational Physics at the University of Texas at Austin. I received my BSc in Theoretical Physics from UCD, my MASt degree in Applied Mathematics from St. Catharine's College at the University of Cambridge and returned to UCD, where I completed my Doctorate. My research is on modelling gravitational waves produced by black holes in orbit.
When I was doing the Leaving Cert in Galway I remember I was failing both maths and physics in 5th year. My Mum pushed me to try higher level maths in 6th year. I opened the Texts&Tests book at page 1 and did every problem in the book. My grades improved and I'm glad I had the support of my Mum and maths teacher who didn't give up on me when I had given up on myself. I wouldn't be where I am today without it. I was also fortunate enough to teach at an all girls summer school in Riyadh, and my students there were some of the best I've ever had the pleasure to mentor.
I'm very grateful that there has never been a person in my life who didn't think I could do maths just because I am a woman. I have always had fantastic lecturers, supervisors, colleagues, family and friends who never doubted my abilities.
Degree: BSc Financial Mathematics Current job title: Associate Vice President (AVP) of the Corporate Finance Team at SMBC Aviation Capital
I graduated from the first class of the BSc in Financial Mathematics in UCD in 2019. Afterwards, I joined SMBC Aviation Capital (an aircraft lessor) through their graduate programme and I am now Associate Vice President (AVP) of the Corporate Finance Team. My current role as AVP Corporate Finance is on the “liabilities side” of the business, and involves analysing the various avenues through which we can raise financing for the business, aiming to achieve the most diversified lines of credit at the most efficient cost. My degree in Financial Mathematics helps me almost every day in my current role, drawing on what I learned in UCD about mathematical modelling, risk management, and even, Monte Carlo modelling when looking at the risk-versus-reward of specific deals with airlines. I loved my time in UCD and thankfully find myself back on campus relatively frequently, generally guest-lecturing on topics such as Sustainable Finance which is a new area of focus/ passion of mine!
Degree: BSc Financial Mathematics, PhD Statistics Current job title: Assistant Professor in Statistics
I am an Assistant Professor of Statistics at the School of Mathematics & Statistics at UCD. My research combines mathematics, engineering, and statistics to create physics-informed data-driven models. Among other applications, I use these models to quantify financial risk; determine a person's genetic response to an infection or disease; quantify Cerebral Palsy severity in children; examine the relationship between air quality and respiratory conditions. I am the industrial liaison for the school. In my role, I collaborate with a number of industrial partners (ESB, Met Eireann, Davy, Bank of Ireland, Dell, Bord Gais, and Irish Rail) in order to predict outcomes, optimize processes, and reduce costs. Some of the projects I have worked on include forecasting short-term wind power, modeling supply chains, and forecasting service part demand.
I direct the functional data analysis group with five PhD students and two MSc students. I am responsible for Data and Dynamics at the UCD Centre for Mechanics. This centre champions data-driven science and engineering. I am also a funded investigator in the Next Generation Energy Systems (NexSys) and the VistaMilk SFI Research Centre. In addition, I am a supervisor at the SFI Centre for Research Training in Foundations of Data Science and the SFI Centre for Research Training in Genomics Data Science.
I started my career as an undergraduate in Financial Mathematics at the University of Limerick (UL). It was a research project with Dr. Kevin Hayes in my final year that inspired me to pursue a PhD in Statistics. UL's Kemmy Business School hired me as a Lecturer in Finance in 2011. In 2013, I was awarded a postdoctoral fellowship in Biostatistics at the University of Rochester, New York, USA. I then received the prestigious Canadian Statistical Sciences Institute distinguished postdoctoral fellowship at McGill University, Canada, in 2015. In 2017, I joined the School of Mathematics and Statistics at UCD.
Degree: BSc Mathematical Science, MSc Data Science Current job title: Lead Data Scientist at Llyods Banking Group
Having completed my leaving certificate, I pursued a degree in mathematical science at University College Dublin. During my degree I really fell in love with statistics due to its complex problem solving solutions on data sets and creative data visualisations. My degree gave me the foundations I needed to pursue a career in data.
When I graduated, I completed a graduate programme with First Derivatives PLC, an IT and consultant company. I got to work with investment banking data in London where I analysed large volumes of foreign exchange and money market trades using SQL (Structured Query Language). I worked as a statistician for RBS (Royal Bank of Scotland), Insurance, Amazon, BT (British Telecom) and Communisis. For eight years, I got to build statistical models and deploy them into production to enable businesses to make decisions using the model outputs. I then applied and completed a Master’s degree in Data Science with Birkbeck University London where I studied part time while working full time over two years. The masters allowed me to upscale in programming and computer science theories I hadn't originally known.
I learned how to programme in Python which enabled me to secure a role as a data scientist for Lloyds Banking Group (LBG). I have spent the last five years working for LBG and have recently been promoted to a lead data scientist. I help train and upskills graduates and junior data scientists and engineers. I work frequently on machine learning production projects using agile ways of working and applying DevOps and Mob programming techniques.
Degree: BSc in Mathematics Current job title: Assistant Professor
I decided to become a mathematician on 8/2/2000, when I had to write a school essay about my dream job. As I had written, I like Mathematics because it is the most fun and challenging game: you don’t need to memorize anything-it only suffices to combine in a creative way some basic rules. My mathematical journey includes a BSc in (Pure) Mathematics at the University of Athens (2005-2009), a PhD in “Universality and Potential Theory” at UCD (2009-2013), a postdoc at the University of Western Ontario (2013-2015), a postdoc at the University of South Florida (2016-2018) and a BDIC lectureship between UCD and Beijing University of Technology (2015-2016 and 2018-2019). Since January 2020 I have been working as an Assistant Professor (Ad Astra Fellow) at UCD and I am currently supervising my first doctoral student. My research interests are in Potential Theory, Complex Function Theory, Approximation. One main components of my research is concerned with organised chaos (which matches my personality), namely holomorphic functions with “universal” approximation properties. I have published 15 research papers, delivered more than 50 invited talks at conferences and seminars in 14 countries, co-edited one conference proceedings, co-organised 5 international research conferences, served twice as the deputy leader of the European Girls’ Mathematical Olympiad, and received various types of distinctions (for ex. the 2020 NUI Award for Early Career Academics). My journey wouldn’t be the same without the encouragement of 6 influential mathematicians that I highly admire: V. Nestoridis, S. Gardiner, P. Gauthier, A. Boivin, D. Khavinson and C. Beneteau.
Degree: BSc, MSc and PhD in Mathematics Current job title: Professor of Mathematics
I did a BSc and MSc at UCD, after which I received the Travelling Studentship in Mathematical Sciences from the National University of Ireland. My doctoral work was at Universität Tübingen, Germany and UCD. I held a permanent lectureship in the Department of Mathematics, St. Patrick's College, Maynooth before returning to UCD. I’ve held fellowships from the Mathematisches Forschungsinstitut Oberwolfach, Germany and from EPSRC, the Engineering and Physical Sciences Research Council of the UK. I’m a professor since 2022. I’m the first female President, Vice-President and Secretary of the Irish Mathematical Society and have been a committee member of the Physical, Chemical and Mathematical Sciences Committee of the Royal Irish Academy from 2014-2022.
My research involves spaces with symmetry, known as JB*-triples, straddling analysis, algebra and geometry. Recently I worked on evolution algebras, which were introduced in 2006 to model certain genetic phenomena. I’ve received a Teaching Excellence Award for my lecturing, I’ve co-organised 6 international conferences and have received numerous funding awards.
Degree: MSc in Mathematics & Data and Computational Science Current studies: PhD Student
Hi, my name is Prabhleen, and I am a Ph.D. student at UCD working on the applications of network science in animal social studies. My passion for mathematics began in high school, leading me to pursue a double masters in pure mathematics and data and computational science. My current research applies statistical network analysis methods on animal GPS radio-telemetry data to understand the causes and consequences of social interactions amongst the animal community. In addition, I am utilising agent-based modelling techniques for simulating animal movements. I like that my research has real-world applications and is being used by ecologists to inform policies for sustainable ecosystem management. Analytical thinking is at the heart of many industries, and for me, being a woman in mathematics expresses empowerment, enabling one to tackle various challenges and make informed decisions. I desire to continue on this path and leverage my mathematical-statistical analytical skills and Ph.D. research experience to solve technical challenges.
Degree: BA Mathematics and English, MSc Mathematics and MA Education Current studies: PhD Student
I am a third-year PhD student in the School of Mathematics and Statistics at University College Dublin. My research interests are in post-primary mathematics education with a focus on problem-solving and teacher professional development.
I originally studied Mathematics and English Literature at Trinity College Dublin before going on to complete an MSc in Algebra, Geometry and Number Theory jointly at Université Paris-Sud and Università degli Studi di Padova. I then moved to the UK, where I qualified as a mathematics teacher and worked for 3 years as a mathematics teacher in a school in Nottingham City. During this time, I also completed my MA in Education at the University of Nottingham. I found this experience challenging and rewarding and it led me to recognise that my passion lay in Mathematics Education. As a result, I chose to pursue a PhD in the area which led me to my current position here in UCD.
Degree: BSc Physics, MSc Statistical Physics & Complex Systems Current studies: PhD Student
I am Saeedeh, a PhD candidate focusing on Collective Wisdom in Social Media. My academic background is in Physics and Complex Systems, and I utilize network science and statistical methods to gain insights into human behaviour on social media platforms. My research aims to tackle crucial issues such as cyberbullying, misinformation, and online manipulation. I hold a master's degree in Statistical Physics and Complex Systems from Shahid Behesti University and a bachelor's in Physics from Alzahra University in Iran. Prior to my current position, I gained valuable experience as a developer at a tech company named PAND. I am also a member of the CRT in the Foundation of the Data Science program, where I have been able to learn and acquire essential knowledge and skills in applied mathematics, data science, and other valuable transversal skills.
Degree: BSc Physics, MSc Data & Computational Science Current studies: PhD Student
I hold a bachelor’s with an Honours degree in Physics (in 2016) from India followed by a master’s degree from UCD in Data and Computational Science (in 2018). I was previously employed as a Data Analyst (in 2016) for a manufacturing company where I analysed large datasets from vendors. My PhD (2019-to-date) research focuses on functional data analysis (FDA), which analyzes data providing information about curves, images, and/or shapes. During my PhD, I have used FDA techniques to study human movement. I examined high-dimensional data from multiple wearable sensors monitoring a person's manner of walking. The FDA methods I have developed provide a measure of the abnormality of the person's manner of walking. This can be used to assess treatment options and monitor progress for individuals with a variety of conditions that affect walking for example Parkinson’s disease, cerebral palsy, or stroke patients. I have presented this work nationally and internationally at various conferences where I was awarded the best poster and best talks awards on many occasions. As part of my PhD programme, I completed a 12-week industrial placement with Grant Thornton. During this time I created a Machine learning-based classifier that assesses a person's creditworthiness by using the applicant’s demographic and socio-economic profiles to determine the risk of lending money to the customer. I am currently developing physics-informed machine learning methods that seamlessly integrate data and mathematical physics models, even in partially understood, uncertain, and high-dimensional contexts. The methodology I am developing merges advanced functional data analysis techniques and numerical analysis methods to aid facial reconstruction. That is to recover a 3D representation of a person's facial shape. This work has various applications such as animation, video dubbing, face aging, and plastic surgery.
Degree: BSc Financial Mathematics Current job title: Senior Analyst, Global Research & Design at S&P Global
I started in UCD almost 7 years ago now and I have such great memories from my time there. The Financial Mathematics degree broadened my mind and taught me how to solve problems in different ways, such as through coding and allowed me to develop my interpersonal skills, all with the support of my classmates and our wonderful program coordinator Adamaria! I graduated with the skills I needed to excel in my first role, as a Quantitative Analyst in Irish Life Investment Managers on their Multi-Asset Solutions team. I worked mainly on designing and modelling multi-asset portfolios for clients across the firm’s distribution platforms. I spent two years in this role and during this time I also completed the Level I and II CFA exams. The broad nature of the Financial Mathematics degree gave me a great grounding for the wide range of topics in these exams. I then set my sights on London 6 months ago and I am now working in S&P Global on their Fixed Income Index Research and Design team. I will always be so grateful for the opportunities that have opened up for me through my degree in UCD.
Degree: BSc Theoretical Physics Current studies: PhD Student
I am a PhD candidate, under the supervision of Professor Frederic Dias. I am part of the Wave Group in the School of Mathematics and Statistics. Originally from Riga, Latvia, I have been living in Ireland for the last seventeen years. I graduated from University College Dublin in 2019 and hold a degree in Theoretical Physics. During my years at UCD,
I became a member of Mathematics and Physics Societies, visited CERN in 2018, and in 2019 became an Associate Member of the Institute of Physics. I received my degree as a mature student, returning to college after working in the financial sector for eight years. During that period, I used mathematical and computational tools to work with shares and stocks.
Currently, my two main areas of work in the HIGHWAVE project are numerical modelling and weather and wave forecasting.
UCD School of Mathematics and Statistics
Room S3.04, Science Centre South, University College Dublin, Belfield, Dublin 4, Ireland.