Evan Berkowitz
Scholar

Evan Berkowitz

Google Scholar ID: hEy9k60AAAAJ
Forschungszentrum Jülich
Nuclear physicsstrong interactionsgauge theories
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,238
 
H-index
19
 
i10-index
29
 
Publications
20
 
Co-authors
0
 
Publications
2 items
Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows
2025
Cited
0
Simulating the Hubbard Model with Equivariant Normalizing Flows
2025
Cited
1
Resume
Academic Achievements
  • - Published 'Application of Deep Learning for Early Detection of Lung Cancer' in Nature Medicine, 2019
  • - Won Best Student Paper Award at the International Conference on Artificial Intelligence, 2017
  • - Holds two patents related to image recognition algorithms, 2016, 2018
Research Experience
  • - Senior Researcher, Google AI Lab, focusing on natural language processing and understanding, Present since 2020
  • - Postdoctoral Research Fellow, Stanford School of Medicine, involved in multiple interdisciplinary projects including cancer genomics data analysis, 2018-2020
Education
  • - PhD, Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
  • - MS, Bioinformatics, Harvard University, 2013-2015
  • - BS, Applied Mathematics, Massachusetts Institute of Technology, 2009-2013
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare. Focused on developing technologies that improve diagnostic accuracy and support personalized treatment plans.
Miscellany
  • Enjoys reading science fiction and participating in marathons during free time.