I am an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University.
Until 2024, I was 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.
In the fall semester of 2024, I will be teaching a graduate course on Random Matrix Theory for Data Science and Statistics. Stop by 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 kunisky [at] jhu.edu, or in person in Office N438 in the Wyman Park Building.