# Keiser Lab @ UCSF

> AI/ML research lab at UCSF (2014-2025), led by Associate Professor
> Michael Keiser, mentoring 45+ scientists. The lab built AI for drug
> discovery, neuropathology, phenotypic profiling, and molecular design,
> progressively advancing the AI methods themselves. Michael is now
> co-founder at Sygaldry Technologies, building quantum-accelerated AI.

## Research

The lab's research progressed from applied to fundamental:

1. Systems pharmacology and molecular prediction: from the Similarity Ensemble Approach (SEA) to deep learning representations like E3FP
2. AI for complex biological systems: phenotypic profiling in zebrafish, neuropathology image analysis, 3D genome organization
3. Advancing AI methods for science: generative diffusion models for molecular design, single-cell language models, adversarial evaluation, retrieval-augmented approaches

## Site map

- [Research](https://keiserlab.org/research/) — narrative of the lab's research trajectory
- [Publications](https://keiserlab.org/publications/) — citations with preprint, code, and data links
- [Code & data](https://keiserlab.org/resources/) — per-paper code repositories and datasets
- [People](https://keiserlab.org/people/)
- [News](https://keiserlab.org/news/)
- [DEI](https://keiserlab.org/dei/)
- [About](https://keiserlab.org/about/)

## Code archive

- [github.com/keiserlab](https://github.com/keiserlab) — complete public code archive

## Optional

- [RSS feed](https://keiserlab.org/feed.xml)
- [Sitemap](https://keiserlab.org/sitemap.xml)