I am a fifth-year PhD student in the Courant Institute of Mathematical Sciences at New York University, advised by Afonso Bandeira and Gérard Ben Arous.
My current research interests include:
- Computational "hard regimes" in problems arising in data science and optimization;
- convex relaxations and their average-case performance on random problems; and
- random optimization landscapes and the relationship between their high-dimensional geometry and the computational hardness of optimization.
Together with Benjamin McKenna, Elias Hess-Childs, and Hong-Bin Chen I organize the Courant Student Probability Seminar. I also help organize working groups in the Math and Data group of New York University's Center for Data Science.
I am partially supported by the Courant Institute's Charles Newman Fellowship.
Previously, I was an undergraduate at Princeton University, where my independent work was advised by Michael Damron and John Burgess.
You can reach me at kunisky [at] cims.nyu.edu, or find me in 1003 Warren Weaver Hall.