Starting in the summer of 2024, I am excited to be joining the Department of Applied Mathematics and Statistics at Johns Hopkins University as an Assistant Professor.

Until then, I am a postdoctoral associate in Yale University's Department of Computer Science, hosted by Dan Spielman. Before that, in the spring of 2021, I completed my PhD at the Courant Institute of Mathematical Sciences at New York University, advised by Afonso Bandeira (now at ETH Zurich) and G‌érard Ben Arous.

Recently, I have taught survey topics courses for graduate students on Modern Probability for Theoretical Computer Science and Sum-of-Squares Optimization. Have a look if you are interested.

Some of my current research interests include:

  • Computationally-hard regimes in optimization and statistical problems;
  • average-case analysis of convex relaxations of combinatorial optimization;
  • pseudorandomness and derandomizing results on computational hardness and random matrix theory;
  • convex optimization in proof assistants and experimental mathematics;
  • discrepancy theory and its algorithmic applications.

You can reach me at dmitriy [dot] kunisky [at], or in person in Office 1321 at 219 Prospect Street (Kline Tower).