Theory
With our recent successful faculty hires in the CS department, the areas of security/cryptography, algorithmic game theory, as well as network science have achieved critical mass that puts CS@UVA in a unique position to differentiate itself and serve as a catalyst for rapid growth in this area.
Theory Core Faculty
Christopher L. Barrett
Christopher L. Barrett is the inaugural Distinguished Professor in Biocomplexity, Executive Director of the Biocomplexity Institute, and Professor in the Department of Computer Science at the University of Virginia. He is an interdisciplinary computational scientist who has published more than 100 research articles.
Farzad Farnoud
Matheus Venturyne Xavier Ferreira
Ferdinando Fioretto
Ferdinando Fioretto works on machine learning, optimization, differential privacy, and fairness. He is a recipient of the Amazon Research Award, the NSF CAREER award, the Google Research Scholar Award, the Caspar Bowden PET award, the ISSNAF Mario Gerla Young Investigator Award, the ACP Early Career Researcher Award, and several best paper awards.
Wei-Kai Lin
I am interested in Cryptography, Algorithms, and in general Theoretical Computer Science. My current research focuses on accessing large data efficiently and privately. My results cover Oblivious Random Access Machines (RAM), Private Information Retrieval, and Fully Homomorphic Encryption for RAM programs.
Mohammad Mahmoody
Mohammad Mahmoody's research interests include cryptography, adversarial learning, computational complexity.
Madhav Marathe
Anil Vullikanti
Anil Vullikanti is a Professor in the Department of Computer Science and the Biocomplexity Institute. His research interests are randomized algorithms, combinatorial optimization, distributed computing, dynamical systems and network science, machine learning, and AI, and their applications to epidemiology, public health, and modeling.
Chen-Yu Wei
Chen-Yu Wei is an Assistant Professor in the Computer Science department at the University of Virginia. Previously, he was a Postdoctoral Associate at Massachusetts Institute of Technology and a Research Fellow at the Simons Institute. His research focuses on fundamental problems in interactive decision making and reinforcement learning.