Claudia Mazo is a Marie Skłodowska-Curie Postdoctoral Fellow at the University College Dublin School of (opens in a new window)CeADAR, School of Computer Science and at (opens in a new window)Oncomark Ltd. Claudia was (opens in a new window)recently selected as a member of the (opens in a new window)ACM Future of Computing Academy (FCA). The ACM FCA received hundreds of very competitive applications, from academic institutions, research labs, and companies all over the world. Claudia's selection as one of only 36 new members reflects the impressive level of interest and activity she has already demonstrated, as well as the ideas that she describes for the future. Claudia will be inducted into the FCA in December at the annual FCA face-to-face meeting. It will take place in New York City on 16-17 December 2019.
The FCA was established to develop the next generation of ACM leaders and help shape the future directions of ACM. As part of that leadership development, the FCA defines and implements pilot projects that address challenging issues facing the organization, the field, and society in general. FCA members have the opportunity to perform valuable services to the community while expanding their professional networks and leadership experience.
Claudia Mazo has a Ph.D. in Engineering with Emphasis on Computer Sciences at the University of Valle (Cali-Colombia) and a Ph.D. in Engineering on Production and Computing at the University of León (León-Spain). She has worked research projects on breast cancer images processing, predicting the risk of recurrence of early-stage breast cancer patients using genomic information, developing a dataset of histology and pathology images, clinical decision support system, prediction of a secondary structure on proteins, distributed systems for image annotation and recovery, among others. She currently works in the Life Sciences Data Analytics group with (opens in a new window)Dr. Catherine Mooney.
"It is clear that working with multidisciplinary teams, understanding the immediate and long-term effects of our research and joining efforts and knowledge to produce an improved medical solution is the way to go. In this way, we could improve diagnostics, treatment decisions, and patients’ lives; address new problems; create new products; among others. I believe that my interdisciplinary formation will help us understand and tackle these issues and, as a member of the ACM Future of Computing Academy, I will be able to get in touch with other researchers in the field and establish and strengthen collaboration networks that will translate into better solutions for improving our lives." said Claudia.