Summary
Marcel Prastawa is a Senior Machine Learning Scientist in New York with 11 years of experience building algorithms and computational platforms that turn large, complex datasets into actionable insight. He blends image processing (registration, segmentation, shape statistics), machine learning (outlier detection, domain adaptation, active learning), and physical simulations (fluid flow, elastic mechanics, cell infiltration, N-body interactions) to create hybrid data-driven and physics-informed solutions. At PreciseDx he applies this multidisciplinary toolkit to real-world biomedical problems, shipping production-ready software that integrates automated analysis with interactive user input. Marcel holds a PhD from UNC Chapel Hill and a BS from Purdue, and is notable for bridging rigorous academic methods with pragmatic engineering to deliver interpretable, simulation-aware ML systems.
11 years of coding experience
B.S., B.S. at Purdue University
Ph. D., Ph. D. at University of North Carolina at Chapel Hill