Scholar
Andrew Lee
Google Scholar ID: oQiCjnwAAAAJ
Harvard University
ML
Interpretability
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,383
H-index
11
i10-index
12
Publications
20
Co-authors
12
list available
Contact
No contact links provided.
Publications
2 items
Valence-Arousal Subspace in LLMs: Circular Emotion Geometry and Multi-Behavioral Control
2026
Cited
0
Decomposing Query-Key Feature Interactions Using Contrastive Covariances
2026
Cited
0
Resume (English only)
Academic Achievements
- Published Paper 'Applications of Deep Learning in Autonomous Driving', Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
- Best Paper Award, International Conference on Machine Learning, 2020
Research Experience
- Research Scientist, Google AI Lab, Since 2020
- Projects Involved In: Improvements in Autonomous Driving Technology, Optimization of Visual Recognition Algorithms
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
- M.S., Massachusetts Institute of Technology, 2013-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Computer Vision, Machine Learning
- Field of Expertise: Artificial Intelligence
- Bio: Focused on developing intelligent systems that can understand and interpret the world around them.
Miscellany
- Hobbies: Photography, Hiking
- Skills: Programming, Data Analysis
Co-authors
12 total
Jonathan K. Kummerfeld
Senior Lecturer (ie. research tenure-track Asst. Prof.), University of Sydney
Rada Mihalcea
Professor of Computer Science, University of Michigan
Martin Wattenberg
Harvard University / Google Research
Neel Nanda
Mechanistic Interpretability Team Lead, Google DeepMind
Ekdeep Singh Lubana
Goodfire AI
Jason Weston
Meta
Jing Xu
Meta AI Research (FAIR)
Sainbayar Sukhbaatar
FAIR team, Meta AI
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up