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:
| qyang@uconn.edu |