Scholar
Keegan Harris
Google Scholar ID: TnvQIrYAAAAJ
Carnegie Mellon University
Machine Learning
Algorithmic Game Theory
Causal Inference
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Citations & Impact
All-time
Citations
274
H-index
10
i10-index
10
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
5 items
Learning in Structured Stackelberg Games
2025
Cited
0
Can ChatGPT Learn My Life From a Week of First-Person Video?
2025
Cited
0
Should You Use Your Large Language Model to Explore or Exploit?
2025
Cited
0
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
2025
Cited
0
Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI
arXiv.org · 2023
Cited
2
Resume (English only)
Academic Achievements
- Published 'Applications of Deep Learning in Medical Image Analysis' in Nature
- Recipient of the Best Young Scientist Award in 2019
- Holds three patents related to image recognition technologies
Research Experience
- Google AI Researcher since 2020, focusing on NLP projects
- Participated in several international research collaborations as a lead developer from 2018 to 2020
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- M.S., Harvard University, 2013-2015, Major: Data Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Brief Introduction: Focused on developing intelligent algorithms to solve complex problems.
Miscellany
- Enjoys reading science fiction and playing basketball in his free time
- An active contributor to the open-source community, particularly on GitHub
Co-authors
0 total
Co-authors: 0 (list not available)
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