Sang T. Truong
Ph.D. Student in Computer Science at Stanford University
I develop foundational and applied methods for AI Measurement Sciences, drawing on tools from probabilistic machine learning and measurement theory. My research supports the scientific development of safe AI systems that serve people across diverse backgrounds and needs.
I am advised by Sanmi Koyejo and Nick Haber at the Stanford AI Lab. My research is supported by the Stanford Data Science Scholarship and the Stanford Human-Centered AI Fellowship.
Selected Publications
- Preprint
- Preprint
Industry Experience
Microsoft Research, Beijing
Research Intern | 2026
Research Intern | 2026
Microsoft Research, New York City
Research Intern | 2025
Research Intern | 2025
Virtue AI, San Francisco
Research Intern | 2024
Research Intern | 2024
Emergence AI, New York City
Research Intern | 2023
Research Intern | 2023
Community Health Network, Indianapolis
Research Intern | 2021
Research Intern | 2021
Cummins, Columbus
Intern | 2020
Intern | 2020
Education
Stanford UniversityPh.D. in Computer Science | 2021 – Present
M.S. in Computer Science | 2024
M.S. in Statistics | 2025
DePauw UniversityB.A. with Honors | 2021
Computer Science, Economics, & Computational Chemistry
Management Fellows Program