Qian Yang

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Qian Yang
Assistant Professor
Computer Science and Engineering Department
University of Connecticut, Storrs

371 Fairfield Way, Unit 4155
Storrs, CT 06269

Office: ITE 259
Tel: (860) 486-5472
Email: qyang _ at _ uconn dot edu


My research lies at the intersection of computational science and the physical sciences, with an emphasis on machine learning for materials, physics, and chemistry applications. I completed my Ph.D. from the Institute for Computational and Mathematical Engineering at Stanford University, and hold a B.A. in applied mathematics/computer science from Harvard College. Before joining UConn, I was a postdoctoral scholar in the Materials Computation and Theory group at Stanford University.

Open Positions

I am looking for motivated students interested in developing machine learning methods and efficient computational algorithms for applications in materials science, physics, and chemistry. Positions available immediately. Please email me with your CV and a statement of research interests.


Check out our podcast exploring the development of machine learning for materials science, physics, and chemistry applications! Each episode features conversations with researchers at the forefront of this growing interdisciplinary field. Currently available via RSS feed and here. In collaboration with the Stanford Materials Computation and Theory Group.

Upcoming Episodes:

  • Professor Gábor Csányi (University of Cambridge)

  • Professor Anatole von Lilienfeld (University of Basel)

  • Dr. Turab Lookman (Los Alamos National Lab)

  • Dr. Patrick Riley (Google Accelerated Science)

  • Professor Lucy Colwell (University of Cambridge)

Nov 2018: Book chapter in Computational Approaches for Chemistry Under Extreme Conditions in production, webpage here.

Aug 2018: Started position as Assistant Professor in the Computer Science & Engineering Department at the University of Connecticut, Storrs.