Bio
Ang Li is a PhD student jointly supervised by Prof. Florian Markowetz and Prof. Pietro Liò at the University of Cambridge, funded by Cancer Research UK (CRUK). His research focuses on computational biology, specifically on developing machine learning and deep learning models in genomics.
Research interests
Ang's research at Turing aims to assess the predictive power of deep learning versus traditional machine learning methods in identifying effective biomarkers. He is particularly interested in the utility of ongoing mutational processes, typically revealed through single-cell genomic data, as biomarkers compared to extinct historic processes, which are often identified through bulk genomic data. A key aspect of his work involves generating and analyzing copy number signatures from both single-cell and bulk copy number variations using both deep learning and traditional machine learning models. This differentiated approach helps determine which methods are most effective under different genomic scenarios, particularly in how they relate to ongoing versus historic mutational processes. His work provides significant contributions to the fields of cancer genomics and personalized medicine, enhancing the understanding of genomic alterations at both the population and individual cell levels. This research exemplifies Turing's commitment to transforming healthcare by integrating data science and AI into medical research, thereby addressing major challenges such as the need for earlier disease detection and more personalized treatment strategies.