GGAM comprises faculty members from departments across the campus, including its home, the Department of Mathematics. Below is a brief description of faculty research, links to personal and departmental web pages plus some "Related Courses" which can serve as a general study guideline for students interested in research with a particular faculty member. Students who want a more complete description of a faculty member's research interests are encouraged to contact them.
| Name | Research/Related Courses |
|---|---|
| Chen's research exists at the intersection of computational neuroscience and deep unsupervised learning. His aim is to provide insights into the computational principles governing unsupervised learning in both brains and machines and to reshape our insights into natural signal statistics, a field that explores the structure of and how to model natural signals, like those that help the brain parse out the dimensions of its physical environment.
At the University of California, Davis, he has identified two core missions for his research program. One is to bridge the gap between engineering and science to facilitate advancements in AI. The other is to push the frontier of unsupervised learning in machines with world models built upon sensory, motor and memory representations. [Related Courses] | |
| Linear and nonlinear systems; multi-input, multi-output feedback control systems; decentralized control design; robust and reliable control design. | |
| Machine learning, optimization, and information theory. [Related Courses] |