Weiqi Chu

Weiqi Chu is an Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. His research focuses on network science, model reduction, and data-driven modeling with applications in opinion dynamics, quantum mechanics, and molecular dynamics. He holds a Ph.D. in Mathematics from Penn State University and a B.S. from Peking University. Previously, he was a PIC Assistant Adjunct Professor at UCLA under Professors Mason Porter and Andrea Bertozzi.

Education:

• B.S. in Mathematics, Peking University (2010–2014)
• Ph.D. in Mathematics, Penn State University (2014–2019)

Research Interests:

Chu’s work integrates network science, mathematical modeling, and scientific computing to study phenomena in physical, biological, and social systems. Key areas include opinion dynamics on temporal and hypergraphs, reduced-order methods for quantum systems, and inference from partially observed data. He co-organizes the Applied Mathematics and Computation Seminar and the Mathematics of Machine Learning Seminar at UMass Amherst.

Grants:

• NSF DMS-2309814: Model Reduction Methods for Extended Quantum Systems (2023–2026, solo PI)

Teaching:

Recent courses include MATH 552 (Applications of Scientific Computing) and prior instruction at UCLA in programming (PIC 10A–C) and Penn State in calculus and college algebra.

Labs/Teams:

Collaborates with interdisciplinary groups at UMass and institutions such as UCLA, Penn State, and international conferences (e.g., SIAM, AIMS).