Yusuf Roohani

About:

I design new machine learning approaches for modeling biological systems. In particular, I'm interested in how artificial intelligence can inform better experiment design for biological discovery. My recent work has focused on computationally guiding the engineering of cells using genetic perturbations.

Currently, I lead a machine learning group at the Arc Institute, where we are working on building a virtual cell by combining large AI models with massively scaled data generation. Previously, I completed my PhD at Stanford University under the guidance of Jure Leskovec and Stephen Quake. I retain a visiting affiliation with the Stanford Department of Computer Science.

firstname.lastname@arcinstitute.org

Curriculum Vitae:

Current Team Members

• Alishba Imran (UC Berkeley EECS undergraduate)
• Sanjay Nagaraj (Stanford Computer Science undergraduate)
• Kamal Obbad (Stanford MD-PhD student)
• Mohsen Naghipourfar (UC Berkeley Bioengineering PhD student)
• Valeh Valiollah Pour Amiri (Stanford Genetics PhD student)
• Abhinav Adduri (Arc ML Research Scientist)
• Hiring ML Research Scientists! Email me

Featured Publications:

Journal Publications

Preprints

Conference Papers