About Me

👋 Hello!

I’m a Research Scientist at Guide Labs, an AI research company in San Francisco dedicated to building interpretable AI technology.

I work in the model-training team where I:

  • train interpretable language models at scale
  • explain model behavior at different levels
  • control output generation to get desired behavior or remove unwanted/NSFW outputs

See examples on the Guide Labs blog.

🎓 Education

2021 - 2025
Ph.D. in Computer Science
Auburn University, US 🇺🇸
Advisor: Anh Nguyen
supported by Presidential Graduate Research Fellowship
2018 - 2020
M.Sc. in Computer Science
KAIST, South Korea 🇰🇷
2011 - 2016
B.Eng. in Electronics & Telecommunications
HUST, Vietnam 🇻🇳

💼 Experience

2025 - Present
Research Scientist
Guide Labs, San Francisco, CA
2024
AI Research Intern
JP Morgan AI Research, New York, NY

📝 Academic Service

Active reviewer for premier AI research venues:

  • CVPR (Computer Vision and Pattern Recognition)
  • NeurIPS (Neural Information Processing Systems)
  • ICCV (International Conference on Computer Vision)
  • ICLR (International Conference on Learning Representations)
  • ICML (International Conference on Machine Learning)
  • TMLR (Transactions on Machine Learning Research)