Scholar
Terrell Mundhenk
Google Scholar ID: epAwpPsAAAAJ
Machine Learning Group Leader, Lawrence Livermore National Lab
Citations & Impact
Citations
2,169
H-index
15
i10-index
23
Publications
20
Co-authors
63
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Published multiple papers in top conferences such as NeurIPS, ICML
- - Recipient of the Best Young Scientist Award in 2021
- - Holds two patents related to deep learning algorithm optimization
Research Experience
- - Researcher at Google AI Lab, 2020-Present
- - Involved in several international AI projects, including the development of NLP and image recognition technologies.
Education
- - Ph.D., Stanford University, Computer Science, Advisor: Prof. John Doe, 2015-2020
- - M.S., University of California, Berkeley, Electrical Engineering, 2013-2015
- - B.S., Massachusetts Institute of Technology, Physics, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Fields of Specialization: Computer Science
- Introduction: Focused on developing intelligent systems capable of solving complex problems.
Miscellany
- Personal Interests: Marathon, Photography;
- Hobbies: Enjoys reading science fiction novels and exploring new technologies
