Events
Explore our latest events, seminar series and conferences.
Feb
28
2026
2026 STEM Girl Day at UT Austin
STEM Girl Day at UT Austin, presented by Women in STEM (WiSTEM), is a free on-campus event for K-8th grade students and their families to explore STEM. All genders are welcome!
11:00 am – 4:00 pm • In Person
Mar
3
2026
WI Seminar with Daniel Carney
Title: TBA
2:00 pm – 3:15 pm • In Person
Speaker(s): Daniel Carney
Mar
9
2026
Machine Learning Seminar
These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required
3:00 pm – 4:00 pm • In Person
Mar
10
2026
WI Seminar with Matthew Baumgart
Title: TBA
2:00 pm – 3:15 pm • In Person
Speaker(s): Matthew Baumgart
Mar
23
2026
Machine Learning Seminar
These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required
3:00 pm – 4:00 pm • In Person
Apr
6
2026
Machine Learning Seminar
These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required
3:00 pm – 4:00 pm • In Person
Apr
20
2026
Machine Learning Seminar
These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required
3:00 pm – 4:00 pm • In Person
Apr
28
2026
PHY341-Showcase Day
Students in Dr. Aida Torabi’s “Building Scientific Apparatus” course will showcase the apparatus that they’ve been constructing this past semester. These will be available as a demo for courses and events. Refreshments will be served.
12:30 pm – 2:30 pm • In Person
May
4
2026
Machine Learning Seminar
These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required
3:00 pm – 4:00 pm • In Person