Calvin Mccarter is a Senior ML Scientist based in Boston with 11 years of experience applying machine learning across industry and research, from a PhD in Machine Learning at Carnegie Mellon to roles at Tempus, Lightmatter, Amazon, and now BigHat Biosciences. He specializes in translating cutting-edge ML research into production systems for healthcare, hardware-accelerated ML, and large-scale applied problems, blending deep academic rigor with pragmatic engineering. Calvin’s background includes GPU-accelerated algorithms, post-silicon validation work, and improvements to high-throughput services, reflecting a strong systems-oriented approach to ML. He’s comfortable moving between research, product, and low-level performance optimization, and has a track record of elevating ML reliability in production settings. Notably, his career threads a consistent focus on computational efficiency—optimizing algorithms for real-world hardware constraints while keeping scientific validity front and center.
11 years of coding experience
4 years of employment as a software developer
B.S.E, Computer Science Engineering, Minor in Mathematics, 4.0, B.S.E, Computer Science Engineering, Minor in Mathematics, 4.0 at University of Michigan
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Carnegie Mellon University
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