2023
CAM PhD Dissertation Defense: Yuming Chen
2:00–3:00 pm Jones 304
YUMING CHEN, Computational and Applied Mathematics, University of Chicago
“Data-driven Methods for Inverse Problems: Blending Data Assimilation and Machine Learning”
CAM PhD Dissertation Defense: Zehua Lai
5:00–6:00 pm Jones 226
ZEHUA LAI, Computational and Applied Mathematics, University of Chicago
“Algebraic and Differential Geometry in Modern Optimization”
Student Seminar: Yonghoon Lee
11:00 am–1:00 pm Jones 303
Dissertation Presentation and Defense
YONGHOON LEE, Department of Statistics, The University of Chicago
“Robust estimation and distribution-free inference for supervised learning”
Statistics Colloquium: Ruodu Wang
4:30–5:30 pm Jones 303
RUODU WANG, Department of Statistics and Actuarial Science, University of Waterloo
“E-backtesting”
CAM and Stats Student Seminar: Nathan Waniorek
12:30–1:30 pm Jones 226
NATHAN WANIOREK, Committee on Computational and Applied Mathematics, University of Chicago
“Analysis of a Computational Framework for Bayesian Inverse Problems”
Student Seminar: Lijia Zhou
12:00–1:00 pm Harper Memorial Library, Room 151
Dissertation Presentation and Defense
LIJIA ZHOU, Department of Statistics, The University of Chicago
“A Statistical Learning Theory for Models with High Complexity”
Student Seminar: Kentaro Nakamura
10:00–10:30 am Jones 304
Master’s Thesis Presentation
KENTARO NAKAMURA, Department of Statistics, The University of Chicago
“Improving Text as Treatment Framework”
CAM PhD Dissertation Defense: Zhen Dai
3:00–4:00 pm Jones 303
ZHEN DAI, Computational and Applied Mathematics, University of Chicago
“Complexity and Numerical Stability in Matrix Computations and Nonconvex Optimization “
Student Seminar: Liangzong Ma
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
LIANGZONG MA, Department of Statistics, The University of Chicago
“Identify Heterogeneity of Consumer Choice Using Machine Learning in Graph”
CAM Colloquium: Lexing Ying
4:00–5:00 pm Jones 303
Joint Colloquium with The Data Science Institute
LEXING YING, Department of Mathematics and Institute for Computational and Mathematical Engineering, Stanford University
“Quantum Numerical Analysis”