PhD, University of Washington • Baker Lab
Rohith Krishna

Translating AI research into real-world molecular innovation

Rohith Krishna, PhD
Computational Biology & Machine Learning

I build models of biology—from atomic coordinates that form molecular interactions, up to the organization of pathways in cells. These models have been used across the world in both industry and academia.

Previously: Baker Lab (UW) • Denali Therapeutics • UC Berkeley

What I'm Building Publications Let's Talk

Track Record

Foundational Models

Led development of three foundational models that enable AI-powered molecular design:

  • • RoseTTAFold All-Atom (Science, 2024) - First all-atom molecular modeling network
  • • RFdiffusion2 - Extended to enzyme design applications
  • • RFdiffusion3 (Preprint) - Generalized back to all molecular design tasks
1.5K+ GitHub stars
1,000+ citations
Adopted globally

Industry Experience

Developed ML infrastructure and analysis tools for therapeutic discovery at Denali Therapeutics over 2 years.

Worked directly on drug development programs, processing millions of sequences and generating predictions for cross-functional teams.

Understand the practical challenges of commercial biotech.

Full-Stack Capabilities

Build complete ML systems for molecular design: from model architecture and training infrastructure to experimental validation and real-world deployment.

Expertise spans developing custom PyTorch model code to experimental biochemistry.

Recent Posts

View all →