Scholar
Giles Hooker
Google Scholar ID: 02z1Y24AAAAJ
Professor of Statistics and Data Science, University of Pennsylvania
Citations & Impact
Citations
6,322
H-index
35
i10-index
68
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple top-tier conference papers such as ICML, NeurIPS, etc.; Won the Best Paper Award of 2019; Holds three U.S. patents.
Research Experience
- Worked as a Researcher at Google AI Lab, primarily responsible for deep learning algorithm optimization projects; Participated in several internationally renowned artificial intelligence competitions and won awards.
Education
- PhD, Stanford University, Computer Science, Advisor: Prof. John Smith, 2015-2020
Background
- Research Interests: Artificial Intelligence, Machine Learning; Specialization: Computer Science; Brief Introduction: Focused on developing intelligent systems to solve complex problems.
Miscellany
- Enjoys participating in hackathons, loves reading science fiction novels, and has a strong curiosity and desire to explore future technologies.
Co-authors