Bernhard Kainz
Scholar

Bernhard Kainz

Google Scholar ID: Igxq-YEAAAAJ
FAU Erlangen-Nürnberg, Imperial College London
human-in-the-loop computingmachine learningmedical image analysis
Citations & Impact
All-time
Citations
23,914
 
H-index
51
 
i10-index
126
 
Publications
20
 
Co-authors
36
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published multiple papers at top conferences such as ICML, NeurIPS
  • - Recipient of the Best Young Scientist Award in 2023
  • - Holds three patents related to AI algorithms
Research Experience
  • - AI Researcher, Google Health, 2022-Present
  • - Intern, Microsoft Research, Summer 2021
Education
  • - Ph.D. in Computer Science, Massachusetts Institute of Technology (MIT), Advisor: Prof. Zhang, 2018-2022
  • - M.S. in Biomedical Engineering, Stanford University, 2016-2018
Background
  • Focuses on artificial intelligence and its applications in healthcare; has a strong interest in machine learning and data science.
Miscellany
  • Enjoys hiking and photography, loves exploring natural landscapes in his free time.