Arsen Vasilyan
Research Fellow, Simons Institute
Arsen Vasilyan did his PhD at the Department of Computer Science at Massachusetts Institute of Technology, advised by Jonathan Kelner and Ronitt Rubinfeld. He is a researcher in theoretical computer science, and his main interests lie in Learning Theory, Sublinear Algorithms and the interplay between these two fields. Some research themes that have been arising again and again in his research are (1) Ensuring that algorithms for high-dimensional data analysis and computational statistics are reliable and safe to use. (2) Studying problems for which sample-efficient algorithms are known and designing algorithms that are also computationally efficient.