2023
CAM and Stats Student Seminar
12:30–1:30 pm Jones 303
SOLOMON QUINN, Computational and Applied Mathematics, University of Chicago
“A Boundary Integral Method for the Klein-Gordon Equation with Interface Waves”
2022
DSI Distinguished Speaker Series: Suvrit Sra
12:00–1:30 pm John Crerar Library 390
Suvrit Sra, Esther and Harold E. Edgerton (1927) Career Development Associate Professor of EECS at the Massachusetts Institute of Technology
“Geometric Optimization: Old and New”
DSI Distinguished Speaker Series: Ellen Zegura
12:00–1:30 pm John Crerar Library 390
Ellen Zegura, Regents’ Professor and Fleming Endowed Professor in the School of Computer Science, Georgia Tech
“Human-Centered Networking”
Student Seminar: Yuhan Philip Liu
10:00–11:00 am Via Zoom
Dissertation Proposal Presentation
YUHAN PHILIP LIU, Department of Statistics, The University of Chicago
“Novel Frameworks for Change Point Analysis Under Irregular Conditions”
CAM Colloquium: Fabian Faulstich
4:00–5:00 pm Jones 303
FABIAN FAULSTICH, Department of Mathematics, University of California, Berkeley
“On the Pure State V-representability of Density Matrix Embedding Theory”
Statistics Colloquium: Mladen Kolar
4:30–5:30 pm Jones 303
MLADEN KOLAR, Econometrics and Statistics, University of Chicago Booth School of Business
“Adaptive Stochastic Optimization with Constraints”
CAM Colloquium: Adriana Gillman
4:00–5:00 pm Jones 303
ADRIANA GILLMAN, Department of Applied Mathematics, University of Colorado, Boulder
“Fast Direct Solvers for Boundary Integral Equations”
Student Seminar: Cheng Peng
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
CHENG PENG, Department of Statistics, The University of Chicago
“LASSO-Driven Simultaneous Inference on High Dimensional Dependent Data”
Student Seminar: Joonsuk Kang
1:30–3:00 pm Jones 304
Dissertation Proposal Presentation
JOONSUK KANG, Department of Statistics, The University of Chicago
“Learning Meaningful Representations of Data with Empirical Bayes Methods”
Statistics Colloquium: Will Fithian
4:30–5:30 pm Jones 303
WILL FITHIAN, Department of Statistics, University of California, Berkeley
“Conditional calibration: controlling FDR under dependence, uniformly improving knockoffs, and estimating model selection FDR”