Past Events
Explore our latest events, seminar series and conferences.
Feb
11
2025
The Numbers Game: Analytics in Modern Sports
In the Texas Exes’ February Virtual Lunchtime Lecture, Dr. Amanda Glazer will explore how data analytics is transforming the world of sports.
12:00 pm – 1:00 pm • Virtual
Nov
22
2024
Statistics Ph.D. Dissertation Defense - Brandon Carter
Bayesian Spatial Models for Discrete Data: Methodological Advances with Applications in Urban Sociology
12:00 pm – 2:00 pm • In Person
Nov
18
2024
Statistics Ph.D. Dissertation Defense - Xizewen Han
Classification and Regression Diffusion Models and Tree-Based Extensions
11:00 am – 1:00 pm • In Person
Nov
15
2024
SDS Seminar Series – Rafael Irizarry, Harvard University
Twenty-Five Years of Data Science: Music, Genomics, and Public Health Surveillance
2:00 pm – 3:00 pm • In Person
Speaker(s): Rafael Irizarry
Nov
15
2024
Statistics Ph.D. Dissertation Defense - Zhendong Wang
Enhancing Efficiency and Controllability in Generative Models for Reinforcement Learning and Robotics
8:00 am – 10:00 am • In Person
Speaker(s): Zhendong Wang
Nov
8
2024
SDS Seminar Series – Myungsoo Yoo, University of Texas at Austin
Dynamic Spatio-Temporal Model Integrating Physics for Fire Front Propagation
2:00 pm – 3:00 pm • In Person
Speaker(s): Myungsoo Yoo
Nov
1
2024
SDS Seminar Series – Aaditya Ramdas, Carnegie Mellon University
A Game-Theoretic Theory of Statistical Evidence
2:00 pm – 3:00 pm • In Person
Speaker(s): Aaditya Ramdas
Oct
25
2024
SDS Seminar Series – Matt Koslovsky, Colorado State University
Sparse Dirichlet-Multinomial Models
2:00 pm – 3:00 pm • In Person
Speaker(s): Matt Koslovsky
Oct
18
2024
SDS Seminar Series – Sherry Zhang, University of Texas at Austin
Pivoting between Space and Time: Spatio-Temporal Analysis with Cubble
2:00 pm – 3:00 pm • In Person
Speaker(s): Sherry Zhang
Oct
11
2024
SDS Seminar Series – Mingyuan Zhou, University of Texas at Austin
Building Faster, Better, and Safer Deep Generative Models via Score Identity Distillation
2:00 pm – 3:00 pm • In Person
Speaker(s): Mingyuan Zhou