# Research in Probability

## 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 |