Summary
Raghav Mehta is a Research Associate at Imperial College London with a PhD in Electrical and Computer Engineering from McGill University and a decade of experience applying machine learning to medical image analysis. His work bridges trustworthy AI topics—uncertainty quantification, fairness, and causality—with clinical imaging problems, drawing on postdoc research under Prof. Ben Glocker and a PhD under Prof. Tal Arbel. He has industrial experience in Responsible AI from an internship on Robustness and Safety at Meta and research affiliations with Mila, giving him a rare blend of academic rigor and practical robustness evaluation. Raghav’s background includes building an electronic brain atlas during his MS fellowship, reflecting a long-standing interest in anatomically grounded ML solutions. He is based in London and maintains an active research portfolio and personal website showcasing his projects and publications.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Electronics and Communications Engineering, Master of Science (M.S.), Electronics and Communications Engineering at International Institute of Information Technology Hyderabad (IIITH)
Bachelor of Engineering (B.E.), Electronics Engineering, Bachelor of Engineering (B.E.), Electronics Engineering at Birla Vishvakarma Mahavidyalaya
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at McGill University
English, Gujarati, Hindi