Dr. Tim Kunisky

Biography

Tim Kunisky is an Assistant Professor at Johns Hopkins University, affiliated with the Department of Mathematics and the Algorithms Complexity Group. His research primarily focuses on computational complexity and statistical problems, with interests in spectral algorithms, random and pseudorandom matrix theory, the nascent theory of random tensors, convex optimization, proof assistants, and experimental mathematics. Tim completed his PhD in Mathematics at the Courant Institute of Mathematical Sciences at New York University, where he was advised by Afonso Bandeira and Gérard Ben Arous. He is dedicated to educating students in advanced mathematical concepts and has prepared various pedagogical materials, including lecture notes for courses on random matrix theory and data science statistics. He is actively involved in the academic community and participates in major conferences, such as the IMS Annual Meeting and the Foundations of Computational Mathematics. Tim's contributions to the field of mathematics and his commitment to teaching make him a valuable asset to his university and the broader academic community.

Research Interests