Past Events
Explore our latest events, seminar series and conferences.
Oct
16
2026
SDS Seminar Series – Adam Klivans, University of Texas at Austin
Efficient Algorithms for Reliable Machine Learning
2:00 pm – 3:00 pm
Speaker(s): Adam Klivans
Oct
14
2026
Data Bits & Bites Speaker Series
Data Bits & Bites - Student Research Presentations
Professor Arya Farahi's Student Research Projects
3:30 pm – 4:30 pm
Oct
2
2026
SDS Seminar Series – Giovanni Toto, University of Texas at Austin
Condition matrix completion for polypharmacy medication information
2:00 pm – 3:00 pm
Speaker(s): Giovanni Toto
Sep
25
2026
SDS Seminar Series – Chad Hazlett, University of California, Los Angeles
The Synthetic Confounder: What Pre-Treatment Outcomes Can and Cannot Buy in Longitudinal Causal Inference
2:00 pm – 3:00 pm • In Person
Speaker(s): Chad Hazlett
Sep
23
2026
Data Bits & Bites Speaker Series
Data Bits & Bites - Amanda Glazer, SDS Assistant Professor
Beyond the Box Score: What Sports Analytics Can (And Can't) Tell Us
3:30 pm – 4:30 pm
Speaker(s): Amanda Glazer
Sep
18
2026
SDS Seminar Series – Arhit Chakrabarti, University of Texas at Austin
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
2:00 pm • In Person
Speaker(s): Arhit Chakrabarti
Sep
18
2026
Info Session: NSF Graduate Research Fellowship Program
Learn about eligibility, application strategies and resources for securing one of the nation’s premier graduate fellowships.
10:00 am • Virtual
Sep
11
2026
SDS Seminar Series – Shuangjie Zhang, University of Texas at Austin
Structure Learning for Directed Trees with Zero-Inflated Compositional Nodes
2:00 pm – 3:00 pm • In Person
Speaker(s): Shuangjie Zhang
Sep
10
2026
Edith and Peter O’Donnell Awards Summit
The Edith and Peter O'Donnell Awards Summit is a special one-day event celebrating 20 years of groundbreaking Texas research and innovation through talks, success stories and networking.
8:00 am – 4:00 pm • In Person
Sep
9
2026
Data Bits & Bites Speaker Series
Data Bits & Bites - James Scott, SDS Chair
Vector Factories and Hyperplanes: How Geometry Powers Machine Learning
3:30 pm – 4:30 pm
Speaker(s): James Scott
