Ilias Zadik is a Postdoctoral Researcher at MIT, Mathematics Department, working with Elchanan Mossel and Nike Sun as a part of the NSF/Simons program Collaboration on the Theoretical Foundations of Deep Learning. His research lies broadly in the interface of high dimensional statistics, the theory of machine learning and applied probability. A lot of his work has the goal to build and use mathematical tools to bring insights into the computational and statistical challenges of modern machine learning tasks.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist.