2022
![Ismael Castillo](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Ismael Castillo
12:30–1:30 pm Via Zoom -- PLEASE NOTE DIFFERENT TIME!
ISMAEL CASTILLO, Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne Université
“Bayesian Multiple Testing with Spike and Slab Priors”
![Udit Gupta](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
DSI Events: Udit Gupta
2:00–3:00 pm JCL 390
Data Science Institute/Computer Sciences Candidate Seminar
UDIT GUPTA, PhD student, Harvard University
“Faster, Smarter, and Greener Systems for Data-Center Scale AI”
![Alane Suhr](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
DSI Events: Alane Suhr
3:00–4:00 pm REMOTE ONLY
Data Science Institute/Computer Science Candidate Seminar
ALANE SUHR, Department of Computer Science, Cornell University
“Reasoning and Learning in Interactive Natural Language Systems”
![Aaron Schein](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Aaron Schein
4:30–5:30 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
AARON SCHEIN, Postdoctoral Fellow, Columbia University
“Measurement and Experimentation in Complex Sociopolitical Processes”
Host: Victor Veitch
![Lijia Zhou, PhD Student](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Student Seminar: Lijia Zhou
3:30–4:30 pm Jones 304
Dissertation Proposal Presentation
LIJIA ZHOU, Department of Statistics, The University of Chicago
“A Non-asymptotic Moreau Envelope Theory for Generalized Linear Models”
![Yu-Xiang Wang](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Yu-Xiang Wang
4:30–5:30 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Joint Seminar
YU-XIANG WANG, Eugene Aas Chair Assistant Professor, University of California, Santa Barbara
“Three Challenges in Responsible ML and How to Overcome Them, Provably”
![Chih-Hsuan Wu](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Student Seminar: Chih-Hsuan Wu
1:00–2:00 pm Via Zoom
Dissertation Proposal Presentation
CHIH-HSUAN WU, Department of Statistics, The University of Chicago
“Statistical Challenges in High-throughput Transcriptomics Data”
![Alex Kale](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
DSI Event: Alex Kale
2:00–3:00 pm In-Person and Via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
ALEX KALE (University of Washington)
“Data Interfaces for Reasoning with Uncertainty”
![Matt Golub](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Matthew Golub
4:30–5:30 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
MATTHEW GOLUB, Postdoctoral Research Associate, Stanford University
“Reverse Engineering Computation in the Brain”
Host: Brent Doiron