Qian Yang

Assistant Professor

Computer Science and Engineering

Dr. Qian Yang is an assistant professor in the Computer Science and Engineering Department at the University of Connecticut. She completed her Ph.D. in 2018 from the Institute for Computational and Mathematical Engineering at Stanford University, and holds a B.A. in applied mathematics/computer science from Harvard College. Her research lies at the intersection of computational science and the physical sciences, with an emphasis on machine learning for materials, physics, and chemistry applications. Before joining UConn, she was a postdoctoral scholar in the Materials Computation and Theory group at Stanford University. She previously worked in industry in cloud-based healthcare software development, and lead software development for a smart medical device start-up.


Key Active Research Projects:

  • Learning Predictive Models of Chemistry from Molecular Dynamics
  • Data-Driven Model Reduction of Nonlinear Dynamical Systems
  • Physics-based Machine Learning with Small Data


Future Directions:

  • Active Learning for Additive Manufacturing and Materials Discovery
  • Computer Vision for Scientific Imaging


Key Skills/Capabilities:

  • Computational mathematics
  • Statistical and machine learning
  • Model reduction
  • Nonlinear dynamical systems
  • Optimization
  • Materials computation and simulation

Google Scholar Profile:

Qian Yang


Contact Information