Research in Probability
Probability research at UC Berkeley is a joint activity of the Mathematics Department and the Statistics Department. Please see the Probability section of the Statistics Department home page.
Senate Faculty
| Name | Title | Research Interests |
|---|---|---|
| David Aldous | Professor Emeritus | Theoretical and applied probability |
| Jennifer Chayes | Professor | Probability theory, graph theory, graphons, mathematical statistical physics, and machine learning. |
| Steven N. Evans | Professor | Probability and stochastic processes |
| Vadim Gorin | Associate Professor | Integrable probability, random matrices, asymptotic representation theory |
| Alan Hammond | Professor | Statistical mechanics, studied rigorously via modern techniques from mathematical probability |
| Michael J. Klass | Professor Emeritus | Probability theory, Combinatorics |
| James Pitman | Professor | Probability, stochastic processes, combinatorics, machine learning |
Postdocs
| Name | Title | Research Interests |
|---|---|---|
| Kevin Yang | NSF Postdoctoral Scholar | Probability theory, partial differential equations |
Faculty with Related Research Interests
| Name | Title | Research Interests |
|---|---|---|
| Michael J. Lindsey | Assistant Professor | Numerical analysis, optimization, Monte Carlo methods |
| Andrei Okounkov | Professor | Representation theory (of combinatorial flavor) and its application to algebraic geometry, mathematical physics, probability, special functions, and other fields. |
| Fraydoun Rezakhanlou | Professor | Probability theory, Partial differential equations |
| Nikhil Srivastava | Associate Professor | Theoretical computer science, random matrices, geometry of polynomials |
Graduate Students
| Name | Dissertation Supervisor |
|---|---|
| Yulia Alexandr | Bernd Sturmfels, Serkan Hosten |
| Emily Bain | Nicolai Reshetihkin |
| Rongyi (Amy) Dai | |
| Ian Francis | |
| Yujie Fu | |
| Victor Ginsburg | |
| Zack McNulty | |
| Rikhav Shah | |
| Tianrui Xu |
Recent Ph.D.s
| Name | Dissertation Title | Dissertation Supervisor | Year |
|---|---|---|---|
| Nicholas Bhattacharya | Making Sense of Protein Representation Learning in the Wild | Yun Song, Steven Evans | 2022 |
| Theodore Zhu | Some Problems on the Convex Geometry of Probability Measures | James Pitman | 2022 |
| Dan Daniel Erdmann-Pham | Probabilistic Models and Statistical Tools for Gene Expression Analysis | Yun Song, Steve Evans | 2021 |
| Milind Hegde | Probabilistic and geometric methods in last passage percolation | Alan Hammond, Shirshendu Ganguly | 2021 |
| Satyaki Mukherjee | Pseudospectra of matrices and Point spectra of infinite graphs | James Pitman, Nikhil Srivastava | 2021 |
| Peter Vinella | Coefficient Optimal Control Problems for Elliptic PDE | L. Craig Evans | 2021 |
| Kyeongsik Nam | Singular stochastic differential equations with elliptic and hypoelliptic diffusions | Fraydoun Rezakhanlou | 2020 |
| Kenneth Hung | Topics in Conditional Inference | David Aldous, William Fithian | 2019 |
| Chanwoo Oh | Metastability of Zero Range Processes | Fraydoun Rezakhanlou | 2019 |
| Chen Shen | Fluctuation Analysis of Order Positions Under General Cancellations | Steven Evans | 2019 |
| Qiuyi Richard Zhang | Fast Algorithms for Interior Point Methods | 2019 | |
| Benson Au | Rigid structures in traffic probability: with a view toward random matrices | Steven N. Evans | 2018 |
| Justin T. Brereton | A method of constructing invariant measures at fixed mass | Daniel Tataru | 2018 |
