Qin Gao

Qin Gao

Ph.D. candidate in theoretical Physics
M.S. student in Machine Learning
Carnegie Mellon University

Physics Machine Learning

My primary research interests include theoretical study of solid surface and interface, and novel machine learning algorithms for condensed matter physics. My thesis advisor is Prof. Michael Widom. I'm currently a McWilliams Fellow.

Contact information
Wean Hall 6301
5000 Forbes Ave
Pittsburgh, PA 15213
Phone: (412) 268 9418
Email: qingao (at) andrew (dot) cmu (dot) edu