Events: Faculty

Title: Evolving the Universe’s large-scale structure on supercomputers and the blackboard

3:00 pm – 4:00 pm • In Person

Speaker(s): Nickolas Kokron

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

Title: DIII-D tokamak scenarios: performance vs reliability for a fusion reactor

2:00 pm – 3:00 pm • In Person

Speaker(s): Max Austin

Title: Challenges and opportunities in the Universe’s large-scale structure

2:00 pm – 3:15 pm • In Person

Speaker(s): Nickolas Kokron

Title: Splitting electrons without a magnetic field: The story of fractional Chern insulators

3:00 pm – 4:00 pm • In Person

Speaker(s): Nicolas Regnault

Title: Why a tiny neutrino particle inspired me to simulate and reconstruct the entire Universe

3:00 pm – 4:00 pm • In Person

Speaker(s): Adrian Bayer

Title: TBA

2:00 pm – 3:15 pm • In Person

Speaker(s): Daryl Haggard

TBA

3:00 pm – 4:00 pm

Speaker(s): Jaki Noronha-Hostler

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

Title: TBA

2:00 pm – 3:15 pm • In Person

Speaker(s): Abhay Ashtekar