Sheraz Khan is a technology leader and AI strategist based in Cambridge, MA, currently directing Generative AI at Pfizer. He brings nine years of leadership experience and a rigorous academic foundation, pairing research depth with scalable delivery. At Harvard Medical School, he built platform-independent, open-source Python tools for large-scale neuroimaging and designed HPC and AWS cloud infrastructure powering 100+ labs worldwide. His industry track record includes leading Biogen's Movement Platform and founding Khan Consultancy, driving digital health and clinical-trial innovations. He holds a PhD in Computational and Applied Mathematics (Summa Cum Laude) from École Polytechnique and an MS in Signal Processing & Control Engineering from CentraleSupelec, along with an HMS Nancy Lurie Marks Fellowship in Neurology. He uniquely blends academic rigor with practical software leadership, translating complex neuroscience data into scalable AI-enabled solutions across academia and industry.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Industrial Electronics Engineering, Summa Cum Laude, Bachelor of Engineering - BE, Industrial Electronics Engineering, Summa Cum Laude at NED University of Engineering and Technology, IIEE
Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics, Summa Cum Laude, Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics, Summa Cum Laude at École Polytechnique
HMS Nancy Lurie Marks Fellow in Neurology, HMS Nancy Lurie Marks Fellow in Neurology at Harvard Medical School
Master of Science - MS, Signal Processing & Control Engineering, Master of Science - MS, Signal Processing & Control Engineering at CentraleSupelec
Contributions:5 pushes, 1 branch in 1 year 1 month
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