Mohit Pandey is a senior data scientist in San Francisco with a decade of experience bridging deep learning, physics, and drug discovery. He holds a PhD in physics and has applied physics-based models, graph neural networks, VAEs and diffusion models to accelerate genetic medicine and peptide drug design across startups like Scribe Therapeutics, FogPharma and Menten AI. Mohit combines hands-on engineering—speeding code with parallel computing and building chaotic time-series and high-throughput biology models—with domain expertise in protein design tools such as Rosetta and PyMOL. He has led large-scale benchmarking on quantum hardware (D-Wave) and translated research into practical ML pipelines for experimental assay data. Comfortable communicating complex ideas to non-technical stakeholders, he pairs a strong theoretical background with product-focused execution in biotech. An uncommon strength is his ability to fuse quantum/physics insights with modern generative ML to tackle real-world biomolecular design problems.
10 years of coding experience
7 years of employment as a software developer
BS-MS Physics, BS-MS Physics at Indian Institute of Science Education & Research (IISER), Kolkata
Class XII Science, Class XII Science at Delhi Public School
Doctor of Philosophy - PhD Quantum Physics Condensed Matter Physics Statistical Mechanics, Doctor of Philosophy - PhD Quantum Physics Condensed Matter Physics Statistical Mechanics at Boston University
Contributions:299 pushes, 3 branches in 2 years 9 months
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