Scholar
Qijia Jiang
Google Scholar ID: sOna0qoAAAAJ
UC Davis
Citations & Impact
Citations
438
H-index
8
i10-index
7
Publications
17
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Has worked on various topics in optimization, signal processing, and statistics in the past; more information about past and current research can be found on Google Scholar.
Research Experience
- Taught as a TA at Stanford University for High-dimensional Statistics, Convex Optimization, and Machine Learning; as an instructor at UC Davis for Introduction to Probability Theory; and conducted postdoctoral research at UT Austin and Berkeley.
Education
- PhD in Electrical Engineering, Stanford University, Advisor: Emmanuel Candès (2021); Undergraduate in Electrical Engineering, Statistics, and Applied Mathematics, Rice University.
Background
- Research interests include theoretical connections between optimization, MCMC sampling, dynamical systems, and particle systems; blending machine learning with traditional numerical algorithms for PDE, sampling, optimal transport, and control; and AI for Science: data-driven approaches to computational problems arising in Physics + Chemistry (with an eye towards Molecular Dynamics & atomistic simulation). Fascinated by quantitative approaches to understand the natural world.
Miscellany
- Contact: Email qjiang@ucdavis.edu, Office Mathematical Sciences Building #1129
Co-authors