Bio
Begoña Bolos is a doctoral student at the Institute of Genetics and Cancer from The University of Edinburgh. She was awarded with a Cancer Research UK PhD studentship to work on multimodal AI with both Glasgow and Edinburgh Universities. Before starting her PhD, she gained a Master's degree in Bioinformatics at the Technical University of Denmark and worked in biotech industry as a data scientist. She completed her undergraduate studies in Biotechnology at the Polytechnic University of Valencia.
Research interests
Begoña Bolos is addressing the global health challenge of improving survival rates for bowel cancer patients who experience recurrence of the disease after initial treatment and remission. Given the inherent multimodal nature of real-world healthcare datasets, her project aims to model survival data with competing risks, high-dimensional transcriptomics and tabular data with unimodal and multimodal approaches to predict cancer recurrence risk. Her interests include causal inference, advances in network science for dimensionality reduction, interpretability and implementation challenges of clinical AI.