Scholar
Yuanqi Du
Google Scholar ID: fAc_zZMAAAAJ
PhD Student, Cornell University
Citations & Impact
Citations
4,652
H-index
28
i10-index
41
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Work has appeared in leading machine learning venues (NeurIPS, ICML, ICLR) and top-tier scientific journals, including Nature, Nature Machine Intelligence, Nature Computational Science, and JACS. Notably, three of his papers have been featured as cover articles in Nature Machine Intelligence, Nature Computational Science, and JACS. Serves as an area chair for NeurIPS and regularly reviews for flagship journals in the Nature, Science, and ACS families.
Research Experience
- Spent time at AMLab, University of Amsterdam (with Prof. Max Welling), and Microsoft Research. Organized over 20 community events, including conferences, workshops, and seminars. Founded the series of AI for Science workshops, co-founded the Learning on Graphs conference and probabilistic inference workshops, and led an initiative AI for Science 101 building knowledge systems for AI for Science.
Education
- PhD student in Computer Science at Cornell University, advisor information not provided.
Background
- Research interests include probabilistic machine learning, structure and geometry, and AI for science. Focuses on generative models, large language models, measure transport, stochastic control, sampling, and Bayesian inference. Aims to develop principled, efficient probabilistic and geometric models inspired by and accelerating discovery in the natural sciences.
Miscellany
- Maintains a Slack channel for communication and outreach about AI for Science with nearly 1500 active researchers. Also interested in (mechanistic) interpretability, science of science, and societal impact of AI.
Co-authors