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:

• Department of Mathematics
• Data Science and AI Institute
• Algorithms and Complexity Group

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.

I am looking for highly motivated PhD students to join my group. If you are interested in working with me, apply to our PhD program and mention my name in your application. Unfortunately, I will not be able to respond to inquiries from students who have not yet been admitted to Johns Hopkins.

Some of my current research interests (with a few representative papers) include:

• computational complexity of statistical problems   [1], [2], [3]
• random and pseudorandom matrix theory   [4], [5]
• the nascent theory of random tensors   [6]
• convex optimization in proof assistants and experimental mathematics   [7]

Some 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:

• Feb 16–Feb 21: Oberwolfach-RIMS Tandem Workshop on Optimization, Theoretical Computer Science and Algebraic Geometry: Convexity and Beyond (Oberwolfach, Germany)
• Jun 8–Jun 13: BIRS Workshop on Frontiers in Combinatorics and Theoretical Computer Science (Hangzhou, China)
• Jun 30–Jul 3: INFORMS Applied Probability Society Conference 2025 (Georgia Tech)

You can reach me at kunisky [at] jhu.edu, or in person in Office N438 in the Wyman Park Building.