Connor Schenck
Scholar

Connor Schenck

Google Scholar ID: IjJXgWAa708C
Google Deepmind
Artificial IntelligenceMachine LearningRoboticsDevelopmental Robotics
Citations & Impact
All-time
Citations
679
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
2
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published paper 'Application of Deep Learning in Heart Disease Prediction', IEEE Transactions on Biomedical Engineering, 2021
  • - Best Student Paper Award, International Conference on Machine Learning, 2020
Research Experience
  • - Senior Researcher, Google AI Lab, focusing on developing new machine learning algorithms, 2020-Present
  • - Intern, Microsoft Research, involved in multiple NLP projects, Summer 2019
Education
  • - Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Zhang, 2015-2020
  • - M.S., Harvard University, Biomedical Engineering, 2013-2015
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare.
Miscellany
  • In free time, enjoys reading science fiction and traveling.