Co-Founder And Chief Science Officer at Frontier Instruments
San Francisco, California, United States
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Summary
👤
Senior
🎓
Top School
Mohammad Sultan is a computational chemistry PhD and technology leader with 13 years of experience building ML-driven platforms for molecular design, microscopy, and DNA-encoded libraries. As a founding team member at insitro and later Principal AI Scientist at Absci, he has led cross-functional teams to deliver TB-scale data pipelines, structure-enabled models, and generative models for antibody design. Now CTO and co-founder of a stealth startup in San Francisco, he combines hands-on engineering—contributing to open-source tools like mdtraj—with strategic platform and team building to accelerate drug discovery. His academic work in the Pande lab fused statistical mechanics and ML to improve simulation interpretability and sampling efficiency, a thread that continues in his method-forward approach to productizing computational science.
13 years of coding experience
13 years of employment as a software developer
B.S(Intensive) Chemistry, B.S(Intensive) Chemistry at Yale University
PhD Physical Chemistry, PhD Physical Chemistry at Stanford University
An open library for the analysis of molecular dynamics trajectories
Role in this project:
Backend Developer
Contributions:7 commits, 2 PRs, 19 comments in 2 years 4 months
Contributions summary:Mohammad primarily contributed to the `mdtraj` library, focusing on molecular dynamics analysis. Their work involved modifying the `geometry` module, specifically `contact.py` and the associated test files, introducing a "soft_min" option to the contact calculation and improving the accuracy and functionality of existing features. Further contributions included adding HDF5 support and correcting minor errors, such as fixing a missing comma and removing a backslash, showcasing their attention to detail.
Contributions:2 PRs, 46 pushes, 3 branches in 8 years
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