List of Faculty in the Graduate Group in Applied Mathematics (GGAM)

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.

Choose a department below or list all faculty
Biomedical Engineering Bodega Marine Laboratory
Center for Neuroscience Chemical Engineering
Chemical Engineering and Materials Science Civil and Environmental Engineering
Computer Science Department of Pharmacology
Economics Electrical and Computer Engineering
Environmental Science and Policy Evolution and Ecology
Graduate School of Management Land, Air and Water Resources
Materials Science & Engineering Mathematics
Mechanical and Aeronautical Engineering Mechanical and Aerospace Engineering
Microbiology and Molecular Genetics Molecular and Cellular Biology
Neurobiology, Physiology and Behavior Physics
Statistics

NameResearch/Related Courses
Aue, AlexanderTime series analysis, structural break analysis, theoretical/mathematical questions arising in fields of application, such as economics, finance and environmental science.
[Related Courses]
Balasubramanian, KrishnakumarInferential and computational issues in non-parametric statistics, high-dimensional statistics, network analysis and stochastic optimization.
[Related Courses]
Ding, XiucaiMy current research focuses on the following areas: 1. Statistical and algorithmic applications of random matrix theory, spin glass theory and integrability theory; 2. Mathematical and statistical foundation for manifold learning and machine learning; 3. Non-stationary time series analysis and functional time series analysis.
[Related Courses]
Li, XiaodongMethods and theory in high-dimensional statistics, robust statistical learning, network data analysis, and signal processing.
[Related Courses]
Lopes, MilesMy main research areas are in high-dimensional statistics and machine learning, with a particular focus on bootstrap methods and randomized numerical linear algebra.
[Related Courses]
Mueller, Hans-GeorgFunctional Data Analysis, Semiparametric Modelling, Applications in Biodemography, Genetics, Medicine, e-Commerce and Finance.
[Related Courses]
Sharpnack, JamesMachine learning, network science, high-dimensional statistics
[Related Courses]
Wang, Jane-LingDimension reduction methods; functional data analysis; longitudinal data analysis; nonparametric functional estimation; aging research; survival analysis.
[Related Courses]