About

I am a PhD candidate in Biological and Biomedical Sciences, Artificial Intelligence and Emerging Technology (AIET) at the Icahn School of Medicine at Mount Sinai and a member of the Mount Sinai Computational Pathology Lab.

My research develops and evaluates machine-learning methods for medical imaging, with a focus on computational pathology, foundation models, weakly supervised representation learning, and fairness in clinical AI. Across pathology and radiology, I am interested in clinically grounded evaluation: understanding whether models generalize across cohorts, tissue types, clinical endpoints, and demographic groups.