Scholar
Dima Shepelyansky
Google Scholar ID: n_XVZ1EAAAAJ
Laboratoire de Physique Theorique CNRS, Universite de Toulouse, France
Citations & Impact
Citations
2,869
H-index
25
i10-index
86
Publications
20
Co-authors
6
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published papers at top conferences like NeurIPS and ICML; Won Best Student Paper Award in 2019; Holds two US patents; Led several open-source projects, including a popular NLP library.
Research Experience
- Google AI Researcher, 2020-Present, Focused on developing novel deep learning algorithms
- Stanford University Research Assistant, 2018-2020, Participated in multiple research projects on natural language understanding
Education
- Ph.D., Stanford University, Advisor: Prof. John Smith, 2015-2020, Computer Science
- M.S., University of California, Berkeley, 2013-2015, Data Science
Background
- Focused on the fields of artificial intelligence and machine learning, with a particular interest in deep learning and its applications in natural language processing.
Miscellany
- Enjoys participating in hackathons, loves reading science fiction, and is an avid rock climber.
