Gregor Kasieczka
Scholar

Gregor Kasieczka

Google Scholar ID: XSJHhmIAAAAJ
Universität Hamburg
Particle PhysicsMachine LearningAnomaly Detection
Citations & Impact
All-time
Citations
112,317
 
H-index
148
 
i10-index
911
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Research Experience
  • Serves as the head of a research group at the Institute for Experimental Physics, University of Hamburg; his work emphasizes the search for exotic, long-lived particles and model-independent identification of anomalies in data.
Background
  • Leads a research group on the application of machine learning in particle physics; focuses on developing new algorithms based on machine learning and AI, particularly for searches of new physical phenomena at the LHC.
Miscellany
  • Contact Information:
  • - Email: gregor.kasieczka@uni-hamburg.de
  • - Twitter: @GregorKasieczka
  • - Mastodon: @gregor_k@sciencemastodon.com
Co-authors
0 total
Co-authors: 0 (list not available)