Dr Kexin Huang
Name:
Dr Kexin Huang
Job title:
Co-founder and CEO at Phylo. ex-Stanford CS PhD
Place of work / study:
Stanford AI Lab
Area of Research:
Building AI for biologists
How is your work funded:
Gates Ventures
Tell us a little about yourself:
I completed my PhD at Stanford Computer Science, advised by Prof. Jure Leskovec [1] and affiliated with Stanford AI Lab. My research is supported by Stanford Bio-X fellowship [2].
I work on enabling AI [3] to produce novel, deployable, and interpretable biomedical and therapeutic discoveries. Questions that I am excited about:
- How to model across massive, diverse, multi-modal, and multi-scale biological experiments to generate novel hypotheses and discoveries?
- How to make these discoveries reliable, trustworthy, and overall aligned with what scientists truly value?
- How to automate day-to-day biological tasks? What does it take to build a fully autonomous AI biologist?
I answer these questions on diverse and difficult biomedical problems throughout the therapeutics discovery and development pipeline. I also address core AI challenges raised by these problems – multi-modal modeling, agentic reasoning, uncertainty quantification, etc.
Previously, I worked with Prof. Marinka Zitnik [4], Dr. Cao Xiao [5], Prof. Jimeng Sun [6], and Prof. Rajesh Ranganath [7]. I have spent time researching at Genentech, GSK, Pfizer, IQVIA, Dana-Farber, Flatiron Health, and Rockefeller University. I did my undergrad at NYU in math & CS & studio art, and master at Harvard in health data science in the biostatistics department.