Events
Explore our latest events, seminar series and conferences.
Mar
13
2026
Technical Seminar with Adam Drobot
Title: A physicist's view of life's journeys and the energy needs of AI
11:00 am – 12:00 pm • In Person
Speaker(s): Adam Drobot
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
Mar
26
2026
Cole Thumann Qualifying Exam
Title: Probing non-Markovian dynamics of hydrodynamic Brownian motion at short times
2:30 pm – 4:00 pm • In Person
Speaker(s): Cole Thumann
Mar
30
2026
Distinguished Peter B. Dervan Lecture 2026
Join guest speaker Professor Sir Cato T. Laurencin, MD, Ph.D., KCSL, for his distinguished lecture on regenerative engineering, followed by a reception.
3:00 pm – 5:00 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
16
2026
Weinberg Memorial Lecture with Vicky Kalogera
Title: Listening to Cosmic Collisions: Black Holes, Neutron Stars, and the Rise of Gravitational-Wave Astrophysics
4:00 pm – 5:30 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