Associate Vice Provost for Research Cyberinfrastructure – Ting Cao
Ting Cao
Associate Vice Provost for Research Cyberinfrastructure
Assistant Professor of Materials Science & Engineering
tingcao@uw.edu
(206) 543-2626
Roberts Hall 302
Box 352120
As Associate Vice Provost for Research Cyberinfrastructure, Ting Cao will oversee the University of Washington’s efforts to expand and enhance its advanced computing and data infrastructure. Cao’s mission is to empower researchers and students across all disciplines by providing state-of-the-art computational resources to tackle complex research challenges. This role includes advancing the development of on-premises high-performance computing (HPC) services and fostering collaborations that integrate data science, machine learning, artificial intelligence, and advanced computational methods into the university’s research ecosystem.
Cao received a Ph.D. in Physics from UC Berkeley in 2018, specializing in theoretical and computational methods for quantum materials. Cao joined the University of Washington in 2019 as a faculty member in the Department of Materials Science and Engineering. As an internationally recognized expert in computational materials science and condensed matter physics, Cao has published over 70 peer-reviewed articles with over 17,000 citations. Cao’s research has led to the discovery of novel optical properties and magnetism in low-dimensional systems, as well as the application of AI and machine learning to quantum materials. Cao’s contributions have been recognized by the Jackson C. Koo Award for thesis excellence, a GLAM postdoctoral fellowship from Stanford University, and a National Science Foundation CAREER award. Cao continues to drive research that integrates advanced computational methods and data science to tackle complex challenges in quantum information science, energy technologies, and semiconductor innovation. These works have been supported by the Department of Energy, the National Science Foundation, and DARPA. Cao has also developed and actively teaches data science curriculum tailored for materials engineering and chemistry students at UW.