4 October 2023
Uni Mail
Europe/Zurich timezone

Toward Building Large HEP Models with Self-Supervised Learning

4 Oct 2023, 16:00
30m
M R070 (Uni Mail)

M R070

Uni Mail

Speaker

Michael Kagan

Description

Michael Kagan is a Lead Staff Scientist at SLAC National Accelerator Laboratory. Michael received his B.S. in Physics and Mathematics at the University of Michigan, where he first worked in High Energy Physics on the CDF experiment. Michael received his Ph.D. from Harvard University, where he worked on the ATLAS experiment at CERN, focusing on some of the earliest measurements on W and Z bosons at the LHC. Michael did his postdoctoral work at SLAC National Laboratory, and subsequently became a Panofsky Fellow at SLAC. Michael’s work focuses on the study of the Higgs Boson and the search for new physics at the ATLAS experiment at the LHC, and on the development of Machine Learning methods for fundamental physics in order to maximize the physics potential of current and future physics experiments.

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