Summary
Farhan Damani is a co-founder guiding Stealth Biotech at the intersection of AI and high-throughput biology, blending startup leadership with hands-on ML and computational biology. He was an early AI hire at Dyno Therapeutics, developing core ML methods for sequence modeling and generative design in gene therapy. Over the past decade, he has worked on AI+bio challenges—from mutational effect prediction to protein design and reaction-condition optimization—with two published papers in the space. His expertise spans deep learning, sequence modeling, and high-dimensional design, turning complex biological problems into data-driven, scalable solutions. Based in New York, he holds ML/AI training from Princeton and CS & Applied Math from Johns Hopkins, and maintains an active GitHub bio focused on AI for drug discovery.
10 years of coding experience
8 years of employment as a software developer
Johns Hopkins University
Machine Learning / Artificial Intelligence, Machine Learning / Artificial Intelligence at Princeton University