Scholar
Nicholas E. Wierschem
Google Scholar ID: JXF31rQAAAAJ
Associate Professor, University of Tennessee
Citations & Impact
Citations
1,822
H-index
26
i10-index
31
Publications
20
Co-authors
14
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Published multiple papers on AI-assisted diagnosis in top-tier journals such as Nature Medicine
- - Won the Best Paper Award in 2021
- - Holds two US patents for innovative applications of deep learning technology in early cancer detection
Research Experience
- - Senior Researcher at Google AI Lab, leading a research project on automated medical image analysis, 2020 to present
- - Intern Researcher at Microsoft Research, involved in several NLP-related projects, Summer 2018
Education
- - Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang San, 2015-2020
- - M.S., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2013-2015
Background
- Research interests include the application of machine learning and artificial intelligence in healthcare; focusing on developing algorithms that can improve diagnostic efficiency and accuracy.
Miscellany
- In his free time, he enjoys reading science fiction, hiking, and participating in marathons.
