Mehul Sampat is a Machine Learning Technical Lead in California with nearly a decade focused on medical image analysis, statistical pattern recognition, and machine learning. He has deep expertise in image registration, feature extraction, texture analysis, and segmentation, and has driven AI initiatives to production across clinical imaging modalities. Mehul’s career bridges academia and industry—from postdoctoral and faculty research on MRI biomarkers at top medical centers to principal architect and leadership roles delivering production algorithms at BioClinica, Clario, and Flywheel.io. Proficient in C, MATLAB, Python and R, he builds end-to-end classification pipelines and keeps teams current with the latest deep learning advances. Less obvious: his work emphasizes rigorous evaluation and error estimation of volumetric image processing methods, a strength that reduces clinical risk when moving models into practice.
8 years of coding experience
12 years of employment as a software developer
PhD, Biomedical Engineering, PhD, Biomedical Engineering at The University of Texas at Austin
BE, Biomedical Engineering, BE, Biomedical Engineering at Dwarkadas J. Sanghvi College of Engineering
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Mehul Sampat - Machine Learning Technical Lead at Flywheel.io