Statistician.
Scientific AI researcher.
Evanston, Illinois 60201
Han Liu
Orrington Lunt Professor
Computer Science, Statistics and Data Science
Director, Center for Foundation Models & Generative AI
Building AI that understands
the world — and discovers
what comes next.
Han Liu develops the foundations and systems of scientific intelligence, connecting self-improving scientific agents, scientific world models, and autonomous laboratories. His research asks how AI can learn from verifiable experience to advance discovery and design in the physical world.
Self-improving
Scientific Agents
Memory, reasoning, adaptation, and research strategies that improve through evaluated outcomes.
Scientific
world models
Foundation models for genomes, cells, scientific time series, and physical systems.
Autonomous
laboratories
Scientific agents, simulation, robotics, and automated Design–Build–Test–Learn systems.
Foundation models.
Generative AI.
Scientific possibility.
Liu directs Northwestern's Center for Foundation Models and Generative AI, connecting fundamental AI research with scientific discovery.
Explore CFMGDREAM
Programmable
Cloud Lab
An NSF-supported $20M initiative for AI-powered protein engineering and autonomous experimentation.
Explore DREAMSelected recognition
Foundations. Leadership. Impact.
- Orrington Lunt Professorship
- PECASE
- Alfred P. Sloan Fellowship
- IMS Tweedie New Researcher Award
- ASA Noether Young Scholar Award
- NSF CAREER
PhD in Machine Learning, Carnegie Mellon University Former faculty, Princeton University and Johns Hopkins University
Current Members
Former Lab Members
Ethan Xingyuan Fang
Associate Professor of Biostatistics & Bioinformatics at Duke University.
Ammar Gilani
Postdoctoral Fellow at the Ryan Institute on Complexity, Northwestern University.
Matey Neykov
Associate Professor of Statistics and Data Science at Northwestern University.
Yang Ning
Associate Professor of Statistics and Data Science at Cornell University.