Hi! I’m a mathematician and theoretical computer scientist, interested in algorithm design and learning theory, with focus on incentives, robustness, fairness, mechanism design, and game theory. 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 under 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.