Sheraz Khan is a Director of Generative AI at Pfizer and an Assistant Professor at Harvard Medical School with nine years of professional experience bridging cutting-edge AI and biomedical research. He leads strategy and delivery for generative models in pharma while maintaining open-source, platform-independent Python tools used by over 100 labs for large-scale neuroimaging analysis. Trained as a PhD computational mathematician and HMS neurology fellow, he has deep expertise in multimodal neuroimaging, high-performance computing, and scalable cloud infrastructure (AWS). His prior work spans deploying wearable-data analytics in clinical trials at Biogen to pioneering Bayesian and machine-learning biomarkers for autism and neurodegeneration published in high-impact journals. Comfortable moving ideas from theory to regulated production, he combines rigorous academic insight with product-focused engineering and cross-functional leadership. An understated thread through his career is extending advanced mathematical tools (e.g., Riemannian optical flow) to real-world biomedical problems, enabling novel clinical biomarkers and deployable analytics.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics, Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics at École Polytechnique
HMS Nancy Lurie Marks Fellow in Neurology, HMS Nancy Lurie Marks Fellow in Neurology at Harvard Medical School
Bachelor of Engineering - BE Industrial Electronics Engineering, Bachelor of Engineering - BE Industrial Electronics Engineering at NED University of Engineering and Technology
Contributions:5 pushes, 1 branch in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.