Events: In Person

Explore our latest events, seminar series and conferences.

Upcoming Past

Mar

3

2026

Weinberg Institute Seminar

WI Seminar with Daniel Carney

Title: TBA

2:00 pm – 3:15 pm In Person

Speaker(s): Daniel Carney

Mar

9

2026

Machine Learning in Physics

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

Weinberg Institute Seminar

WI Seminar with Matthew Baumgart

Title: TBA

2:00 pm – 3:15 pm In Person

Speaker(s): Matthew Baumgart

Mar

23

2026

Machine Learning in Physics

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 in Physics

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 in Physics

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

Special Event

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 in Physics

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