Claudia Mazo


Dr. Claudia Mazo holds a double degree PhD in Engineering with an emphasis on in Computer Sciences from the University of Valle (Cali-Colombia) and a PhD in Production and Computing from the University of León (León-Spain). From 2017 to 2018 she worked in Vicomtech (San Sebastian-Spain) in the eHealth and biomedical applications area. From 2018 to 2021 she holds a Marie Skłodowska-Curie Postdoctoral Fellowship at University College Dublin and Oncomark Ltd (Dublin-Ireland), gaining extensive experience in academia and industry. From 2021 to 2022 she was a research fellow at University College Dublin (Dublin-Ireland) working on AI to develop advanced diagnostic tools to identify those breast and prostate cancer patients with early-stage disease that can be spared aggressive treatment. She was a member of the ACM-FCA (Association for Computing Machinery – Future of Computing Academy) from 2020 to 2022. Since 2019, she has been an Ad Honorem lecturer at Universidad del Valle (Cali-Colombia) working on different research projects and student supervision. Since 2022, she has been an assistant professor at the School of Computing of Dublin City University (Dublin-Ireland).

Research Expertise

Dr. Mazo's research interests include Artificial Intelligence, e-Health, Bioinformatics, and Medical-Data Science. She has authored and co-authored +26 peer-reviewed journal articles and +12 conference abstracts, which reflect her active contributions to the field. She has supervised, co-supervised, and mentored undergraduate, Master, and PhD students in Colombia and Ireland. In addition to her academic roles, she is a committee member of the cost action CA22103 – A Comprehensive Network Against Brain Cancer (Net4Brain) and a member of Global BioImaging, Latin America Bioimaging, and Euro-Bioimaging.