I am an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University. I am also affiliated with these other divisions of the university:
Until the summer of 2024, I was a postdoctoral associate in the Department of Computer Science at Yale University, hosted by Dan Spielman. Before that, in the spring of 2021, I received my PhD in Mathematics from the Courant Institute of Mathematical Sciences at New York University, advised by Afonso Bandeira (now at ETH Zurich) and Gérard Ben Arous.
Some of my current research interests (with a few representative papers) include:
- computational complexity of statistical problems [1], [2], [3]
- spectral algorithms and random/pseudorandom matrix theory [4] [5]
- the nascent theory of random tensors [6]
- convex optimization in proof assistants and experimental mathematics [7]
In Fall 2025, I will be teaching Random Matrix Theory in Data Science and Statistics for the second time. Notes from the first iteration of that course and some other pedagogical materials I have prepared recently include:
- Lecture notes on random matrix theory in data science and statistics (Fall 2024)
- Lecture notes on sum-of-squares optimization (Spring 2022)
Some upcoming events I will be attending or speaking at include:
- Jun 8–Jun 13: BIRS Workshop on Frontiers in Combinatorics and Theoretical Computer Science (Hangzhou, China)
- Jun 16–Jun 18: TTIC Workshop on Information-Computation Tradeoffs for Statistical Tasks: New Challenges and Opportunities (Chicago, IL)
- Jun 30–Jul 3: INFORMS Applied Probability Society Conference 2025 (Georgia Tech)
- Jul 2–Jul 4: COLT 2025 (Lyon, France)
You can reach me at kunisky [at] jhu.edu, or in person in Office N438 in the Wyman Park Building.