About Me

I am a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Brian Hargreaves and Akshay Chaudhari. Previously, I earned my M.Sc. and B.Sc. at Bilkent University under Tolga Cukur.

My work sits at the intersection of machine learning and signal processing, focused on solving hard inverse problems when data is limited and stakes are high. I develop probabilistic, model-aware methods that make learning-based systems more reliable—by quantifying uncertainty, improving robustness, and exposing failure modes. I’m especially motivated by impactful applications in imaging and healthcare, including computational MRI.