Past Events

2022

PSD Statistics Datastamp

Student Seminar: Michelle Li

11:00–11:30 am Via Zoom

Master’s Thesis Presentation
MICHELLE LI, Department of Statistics, The University of Chicago
“Trajectory Exploration and Inference for scRNA-seq Data on Whole versus Endpoints Only Trajectories”

Oct 20
Philippe Rigollet, MIT

Statistics Colloquium: Philippe Rigollet

4:30–5:30 pm Jones 303

PHILIPPE RIGOLLET, Department of Mathematics, Massachusetts Institute of Technology
“The sample complexity of learning transport maps”

Oct 17
PSD datamap stamp

Student Seminar: Xiaoyu Lei

4:30–5:00 pm Jones 226

Master’s Thesis Presentation
XIAOYU LEI, Department of Statistics,  The University of Chicago
“How to Get a Discrete Uniform Distribution From a Biased Coin?”

Oct 14
James Zou, Stanford University

DSI Events: James Zou

12:00–1:30 pm JCL 390

JAMES ZOU, Stanford University
“Clinical Trials for AI and AI for Clinical Trials”
(Part of the Autumn 2022 Distinguished Speaker Series)

Oct 14
Yuehaw Khoo, Assistant Professor

CAM Colloquium: Yuehaw Khoo

4:00–5:00 pm Jones 303

YUEHAW KHOO, Department of Statistics, the University of Chicago
“Scientific Computing for Statistical Mechanics and Quantum Systems”

Oct 13
Daniela Witten, University of Washington

Statistics Colloquium: Daniela Witten

4:30–5:30 pm Jones 303

DANIELA WITTEN, Departments of Biostatistics and Statistics, University of Washington
“Double dipping: problems and solutions, with application to single-cell RNA-sequencing data”

Oct 10
Bo Li, UIUC

DSI 2022 Distinguished Speaker Series: Bo Li

12:00–1:30 pm JCL 390

BO LI, University of Illinois, Urbana-Champaign
“Robustness, Fairness, Privacy, and Their Interconnections”

Oct 7

DSI Events: DATA, A.I., and the Ethical Imperative

Through October 8, 2022 Harris School of Public Policy-Keller Center

Join us for two days of in-depth discussions on the ethics of emerging data-driven technologies.

Oct 7

CAM Colloquium: Di Fang

4:00–5:00 pm Jones 303

DI FANG, Simons Institute for the Theory of Computing and Department of Mathematics, University of California, Berkeley
“Quantum Algorithms for Hamiltonian Simulation with Unbounded Operators”

Oct 6
Eckhardt Research Center

Big Data and Machine Learning in Econometrics, Finance, and Statistics

Through October 8, 2022 William Eckhardt Research Center (ERC), Room 161

Organized by the University of Chicago Stevanovich Center for Financial Mathematics.

No registration needed.

SCIENTIFIC ORGANIZING COMMITTEE

Rina Foygel Barber, University of Chicago, Chao Gao, University of Chicago,  Roger Lee, University of Chicago, Per Mykland, University of Chicago, Niels Nygaard, University of Chicago, Rebecca Willett, University of Chicago, Dacheng Xiu, University of Chicago, Lan Zhang, University of Illinois at Chicago.

Oct 6