Past Events

Explore our latest events, seminar series and conferences.

Upcoming Past

Mar

9

2026

Physics Colloquia

Physics Colloquium with Florian Kühnel

Title: Primordial Black Holes as Dark Matter

3:00 pm – 4:00 pm In Person

Speaker(s): Florian Kühnel

Mar

6

2026

Technical Seminar

Technical Seminar with Cas Milner

Title: A physicist's advice on working in quantitative finance and consulting

11:00 am – 12:00 pm In Person

Speaker(s): Cas Milner

Mar

5

2026

IFS Seminar

IFS Final Defense

Title: Gyrokinetic Simulations for Spherical Tokamak Divertor Design

3:00 pm – 4:30 pm In Person

Speaker(s): Akash Shukla

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

Feb

27

2026

Technical Seminar

Technical Seminar with Aaron Bernstein

Title: Patient Tracking for Navigated & Robotic Surgery -- a Physicist's Journey into Medicine

11:00 am – 12:00 pm In Person

Speaker(s): Aaron Bernstein

Feb

26

2026

Weinberg Institute Brown Bag

WI Brown Bag Seminar with Emmanuel Schaan

Title: Cosmic Microwave Backlight: the Future of CMB Secondary Anisotropies

12:30 pm – 2:00 pm In Person

Speaker(s): Emmanuel Schaan

Feb

25

2026

Physics Colloquia

Physics Colloquium with Emmanuel Schaan

Title: From Cosmological Tensions to Clarity: Illuminating the Dark Universe with Rubin and the CMB

3:00 pm – 4:00 pm In Person

Speaker(s): Emmanuel Schaan

Feb

24

2026

IFS Seminar

IFS Seminar

Title: Hamiltonian Dynamics and Celestial Mechanics Problems in Cislunar Space

2:00 pm – 3:00 pm

Speaker(s): Luke Peterson

Feb

24

2026

Weinberg Institute Seminar

WI Seminar with Abhay Ashtekar

Title: Thermodynamics of Black Holes, far from Equilibrium

2:00 pm – 3:15 pm In Person

Speaker(s): Abhay Ashtekar

Feb

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