Michael Bell is a product and AI leader with 11 years of experience translating advanced machine learning and biophysics research into commercial products across clinical development and industrial IoT. As VP of Product at OmniScience he launched Vivo, an AI-driven control tower for clinical trials, and Ergo, a generative platform aggregating global trial registries to surface strategic insights. Previously he built edge AI solutions and MLOps platforms as Chief Data Scientist and Director roles, delivering deployable computer vision, anomaly detection, and continuous learning systems for resource-constrained devices. He combines a PhD in Quantitative and Computational Biosciences with hands-on engineering experience, bridging high-resolution scientific imaging workflows and scalable product engineering. Notably, his background in cryoEM and drift-correction research informs a unique ability to turn terabyte-scale scientific data challenges into product-grade ML solutions.
11 years of coding experience
10 years of employment as a software developer
Bachelors of Science Physics Minor in Mathematics, Bachelors of Science Physics Minor in Mathematics at Millsaps College
High School Diploma, High School Diploma at HAHNVILLE HIGH SCHOOL
Doctor of Philosophy (Ph.D.) Quantitative and Computational Biosciences, Doctor of Philosophy (Ph.D.) Quantitative and Computational Biosciences at Baylor College of Medicine
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