About Me

I am a Postdoctoral Researcher at The Institute of Cancer Research, London, where I work in the Breast Cancer Research Data Science Group. My research focuses on developing AI and machine learning methods to identify synthetic lethal vulnerabilities in cancer using multimodal molecular data. I also apply foundation models in digital pathology integrated with molecular modalities to advance precision oncology for aggressive cancers, including triple-negative breast cancer.

I lead and serve as the primary developer of the Universal Feature Selection Tool (UniFeat), which enables feature selection across a wide range of research domains. Previously, I was an organizer of The Alan Turing Institute’s interest group on Meta-learning for Multimodal Data and co-organized the first, second, and third Workshops on Multimodal AI.

I completed my PhD in Machine Learning at the University of Sheffield, UK, working under the supervision of Professor Haiping Lu. My doctoral research focused on multimodal learning with graphs for multiomics cancer classification.