Scholar
Quan Nguyen
Google Scholar ID: NhVuN_EAAAAJ
Postdoc, Princeton University
Citations & Impact
Citations
230
H-index
10
i10-index
10
Publications
20
Co-authors
0
Resume
Academic Achievements
- January 2025: Paper on probabilistic modeling of metastable polymorph synthesizability accepted to the Journal of the American Chemical Society; October 2024: Paper on Bayesian optimization for metal–organic frameworks accepted to Chemical Science; April 2025: Received the Turner dissertation award for his Ph.D. thesis, “Experimental Design for Scientific Discovery”; May 2025: Preprint for Vendi information gain made public; November 2025: Proposed a new active learning policy for ecology, to be presented at the AI2ASE workshop at AAAI 2026.
Research Experience
- Currently a postdoc at Vertaix and the Computer Science department of Princeton University, working with Prof. Adji Bousso Dieng.
Education
- Ph.D. in Computer Science from McKelvey School of Engineering at Washington University in St. Louis, advised by Prof. Roman Garnett; was also briefly advised by Prof. Sanmay Das while he was at WashU.
Background
- Research interests lie in Bayesian machine learning, active search, and decision-making under uncertainty to accelerate and automate scientific discovery. He is also an avid programmer and Python enthusiast, often writing about data science, scientific computing, and Python programming.
Miscellany
- Homepage powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.