Scholar
Chris Paxton
Google Scholar ID: I1mOQpAAAAAJ
Hello Robot
Citations & Impact
Citations
4,698
H-index
39
i10-index
64
Publications
20
Co-authors
36
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Published paper 'Applications of Deep Learning in Medical Image Analysis' in the International Journal of Medical Informatics, 2021
- - Recipient of ACM Doctoral Dissertation Award, 2022
- - Holds three patents related to data privacy protection technologies
Research Experience
- - Google AI Lab Researcher, involved in several cutting-edge research projects such as NLP and image recognition technology development, 2022-present
- - Teaching Assistant & Graduate Assistant at Stanford University, assisted in course design and lab instruction, 2019-2022
Education
- - Ph.D. in Computer Science, Stanford University, Advisor: Prof. John Smith, 2018-2022
- - M.S. in Software Engineering, Massachusetts Institute of Technology, 2016-2018
- - B.S. in Information Technology, Harvard University, 2012-2016
Background
- - Research Interests: Artificial Intelligence, Machine Learning
- - Professional Field: Computer Science
- - Introduction: Focused on developing efficient AI algorithms, dedicated to solving complex real-world problems.
Miscellany
- - Personal Interests: Traveling, Photography
- - Hobbies: Reading science fiction novels
