Keiser Lab @ UCSF
For over a decade, our lab built AI and machine learning for scientific problems we cared about, from drug discovery and neurodegeneration to phenotypic profiling and molecular design. We developed generative, multimodal, and representation learning methods across molecules, images, and biological sequences.
Michael is now co-founder at Sygaldry Technologies, building quantum-accelerated AI.
Four lab PhD candidates graduate
Congratulations to recent lab graduates and the UCSF colleagues who co-mentored them to their PhDs and beyond:
The lab wraps up eleven years at UCSF
The Keiser Lab wraps up eleven years at UCSF. Thank you to every lab member, and to the colleagues and friends across UCSF who made it all possible. It’s bee...
We developed AI to find new drugs, read pathology slides, and map enzyme evolution
Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape. Science (2025). Duncan and the Pinney Lab used microfluidics to measure...
AI across biological scales at the QBI-Institut Curie symposium
UCSF’s Quantitative Biosciences Institute and Institut Curie co-hosted a week of symposia on AI across biological scales, bringing together researchers from ...