Vlad Kobzar

I am a PhD Candidate at the NYU Center for Data Science, where I am part of the Math and Data Group.

I completed an MS in Mathematics at the Courant Institute under the advisement of Afonso Bandeira, as well as a JD and LLM at the NYU School of Law. A copy of my master’s thesis is available here.

My research interests include applications of convex optimization to problems that exhibit an algebraic structure. These include problems in cryo-electron microscopy, robotics, as well as computer and human vision.

More broadly, I am interested in the development of computationally efficient, provably robust and interpretable algorithms for data science and machine learning, and in applying methods of mathematics to analyze, among other things, legal and regulatory ramifications of such algorithms.