Machine Learning in Physics

Date
  • Sep 27, 2023, 4:30 pm – 5:30 pm
  • Oct 4, 2023, 4:30 pm – 5:30 pm
  • Nov 1, 2023, 4:30 pm – 5:30 pm
  • Nov 15, 2023, 4:30 pm – 5:30 pm
  • Nov 29, 2023, 4:30 pm – 5:30 pm
Jadwin Hall A10
Related link
ML in Physics Seminar

Speakers

Details

Frick Chemistry Lab

A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.

What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications

When/Where? Wednesdays 4:30 - 5:30pm in Jadwin Hall, Room A10 with light refreshments after the presentation.

Who? The speakers for Fall 2023 are as follows:

  1. Sept. 27: Shirley Ho (Flatiron)
  2. Oct. 4: Juan Felipe Carrasquilla Alvarez (Vector)
  3. Nov. 1: Javier Duarte (UCSD)
  4. Nov. 15: Phiala Shananan (MIT)
  5. Nov. 29: Andy Leifer (Princeton)

For more details — and to sign up for the seminar mailing list — please see the seminar website.

Sponsors
  • Physics
  • Operations Research & Financial Engineering