Hi! My work sits at the intersection of Theoretical Computer Science and Machine Learning, with particular interest in designing algorithms robust to uncertainty and strategic behavior. Currently, I’m a second-year PhD student at the Toyota Technological Institute at the University of Chicago, where I'm advised by Yury Makarychev and Nati Srebro.
Previously, I did my A.B. in Mathematics (with a minor in CS) at Princeton University, where I wrote my senior thesis with Matt Weinberg, and worked with Yuri Pritykin.
I like talking about science, math and CS, so feel free to reach out at chakarov [at] ttic [dot] edu.