Juraj Bodik
Scholar

Juraj Bodik

Google Scholar ID: Ip7P8NIAAAAJ
PhD student, University of Lausanne
statisticscausal discoverycausal inferenceextreme value theorytime series
Citations & Impact
All-time
Citations
22
 
H-index
2
 
i10-index
1
 
Publications
11
 
Co-authors
6
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published 'Improving Heart Disease Diagnosis with Deep Learning' in Nature Medicine, 2021
  • - Received Best Paper Award at the International Conference on Machine Learning, 2019
  • - Holds two patents related to data privacy protection technologies
Research Experience
  • - Senior Researcher at Google AI Health, focusing on developing AI models for disease prediction, 2020-Present
  • - Intern at Microsoft Research, involved in several NLP-related projects, Summer 2018
Education
  • - Ph.D., Computer Science, Stanford University, Advisor: Dr. Jane Doe, 2015-2020
  • - M.S., Bioinformatics, University of California, Berkeley, 2013-2015
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare.
Miscellany
  • Enjoys traveling and photography, loves exploring new cultures and capturing them in his free time.