2022
![Joonsuk Kang, PhD Student](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
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”
![Will Fithian, University of California, Berkeley](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
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”
![Jordan Boyd-Graber](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
DSI Autumn 2022 Distinguished Speaker Series: Jordan Boyd-Graber
12:00–1:30 pm JCL 390
This talk will also be broadcast via Zoom. Please register to receive viewing information.
JORDAN BOYD-GRABER, University of Maryland
“If We Want AI to be Interpretable, We Need to Define and Measure It”
![Benjamin Recht, Department of Electrical Engineering and Computer Science, University of California, Berkeley](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
CAM Colloquium: Benjamin Recht
4:00–5:00 pm Jones 303
BENJAMIN RECHT, Department of Electrical Engineering and Computer Science, University of California, Berkeley
“Steampunk Data Science”
![Weishi Wang, MS Student](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Student Seminar: Weishi Wang
2:00–2:30 pm Jones 303
Master’s Thesis Presentation
WEISHI WANG, Department of Statistics, The University of Chicago
“GAN-MC: a Variance Reduction Tool for Derivatives Pricing”
![Kathryn Roeder, Carnegie Mellon University](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Kathryn Roeder
4:30–5:30 pm Jones 303
KATHRYN ROEDER, Department of Statistics, Carnegie Mellon University
“Model-free prediction test and distribution-free independence test for high dimension data with applications to genomics data”
![Xueqing Wei, MS Student](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Student Seminar: Xueqing Wei
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
XUEQING WEI, Department of Statistics, The University of Chicago
“Different Methods for Dynamic Extreme Value-at-Risk Estimation”
![Nan Chen, University of Wisconsin-Madison](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
CAM Colloquium: Nan Chen
4:00–5:00 pm Jones 303
NAN CHEN, Department of Mathematics, University of Wisconsin-Madison
“A Physics-Informed Data-Driven Algorithm for Ensemble Forecast of Complex Turbulent Systems”
![Hongtu Zhu, University of North Carolina](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Statistics Colloquium: Hongtu Zhu
4:30–5:30 pm Jones 303
HONGTU ZHU, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina
“Statistical Analysis of Shape Data in Large-Scale Biomedical Studies”
![Zhuoying Huang, Master's Thesis Presentation](https://d3qi0qp55mx5f5.cloudfront.net/shared-resources/i/template/transparent.gif)
Student Seminar: Zhuoying Huang
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
ZHUOYING HUANG, Department of Statistics, The University of Chicago
“Mark to Market Value at Risk”