Scholar
Kareem Hegazy
Google Scholar ID: TKfCCqQAAAAJ
Postdoc, UC Berkeley
Citations & Impact
Citations
910
H-index
11
i10-index
11
Publications
20
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Dissertation: Applied theoretical physics, statistics, and fundamental ML techniques to invert measured diffraction patterns for molecular frame structure probability distributions, addressing a 50-year-old inverse problem; Research at CERN focused on the discovery of the Higgs Boson and measuring its spin.
Research Experience
- Postdoctoral researcher at UC Berkeley, Lawrence Berkeley National Lab, and ICSI, working on the intersection of Physics, Chemistry, and AI; Interned at Google X in the blushift team, using adversarial examples to probe fundamental properties between disparate neural network architectures.
Education
- PhD in Physics from Stanford University, 2023, under the mentorship of Phil Bucksbaum and Ryan Coffee; Honors B.Sc. from the University of Michigan, majoring in Physics and Math, with Bing Zhou as a mentor
Background
- Research Interests: Intersection of physics and machine learning. Work includes LLMs for time series, integrating ML into thermodynamic processes, ML chemical potentials, and inverse problems.
Miscellany
- Personal interests not mentioned
