Qijia Jiang

Qijia Jiang is an Assistant Professor in the Department of Statistics at the University of California, Davis. Their research focuses on bridging optimization, MCMC sampling, dynamical systems, and interacting particle systems with machine learning. Key areas include applying these methods to numerical algorithms in PDEs, sampling, optimal transport, control theory, and AI-driven computational problems in physics and chemistry.

Research Interests:

• Integration of machine learning with traditional numerical algorithms
• Computational methods for physics and chemistry
• Data-driven approaches in scientific computing

Notable Activities:

• Delivered the STA 290 Seminar on October 31, 2024, at Mathematical Sciences Building 1147.