2023

Statistics Colloquium: Xihong Lin
4:30–5:30 pm Jones 303
XIHONG LIN, Department of Biostatistics, Harvard University
“Ensemble methods for testing a global null with applications to whole genome sequencing studies”

Student Seminar: Huanqing Wang
1:30–2:00 pm Via Zoom
Master’s Thesis Presentation
HUANQING WANG, Department of Statistics, The University of Chicago
“Multi-Layer FDR Control for Grouped Hypotheses using E-Values”

CAM and Stats Student Seminar: Phillip Lo
12:30–1:30 pm Jones 226
PHILLIP LO, Committee on Computational and Applied Mathematics, University of Chicago
“Learning Coronal Nonlinear Force-Free Magnetic Fields through Differentiable Rendering”

Student Seminar: Xingyue Fang
10:00–10:30 am Via Zoom
Master’s Thesis Presentation
XINGYUE FANG, Department of Statistics, The University of Chicago
“Study of geographical and demographic, and temporal factors affecting PM2.5 concentration level across the US”

Student Seminar: Simiao Jiao
4:30–5:00 pm Jones 111
Master’s Thesis Presentation
SIMIAO JIAO, Department of Statistics, The University of Chicago
“LU decomposition and Toeplitz decomposition of a neural network”

CAM Colloquium: Kui Ren
4:00–5:00 pm Jones 303
KUI REN, Department of Applied Physics & Applied Mathematics, Columbia University
“State-dependent Diffusion for Global Optimization”

Student Seminar: Yucong Liu
1:00–1:30 pm Jones 304
Master’s Thesis Presentation
YUCONG LIU, Department of Statistics, The University of Chicago
“LU decomposition and Toeplitz decomposition of a neural network”

CAM PhD Dissertation Defense: Yian Chen
3:00–4:00 pm Jones 303
YIAN CHEN, Computational and Applied Mathematics, University of Chicago
“Structured Low-complexity Matrix and Tensor Approximation with Applications”

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”