Calvin Mccarter

Applied Scientist at Amazon

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job4 years of employment as a software developer
bookB.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
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Carnegie Mellon University
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Stackoverflow

Stats
231reputation
7kreached
6answers
3questions
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Github Skills (81)

python10
algorithm10
statistics9
clustering9
foundation-models9
algorithms9
machine-learning9
adapter9
sklearn8
similarity-search8
newton-method8
sorting-algorithms8
data-science8
gpu7
deep-learning7

Programming languages (5)

C++SolidityTeXJupyter NotebookPython

Github contributions (5)

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calvinmccarter/kditransform

Sep 2023 - Oct 2025

Contributions:1 release, 10 pushes, 1 tag in 2 years 1 month
calvinmccarter/condo-adapter

Feb 2022 - Dec 2022

ConDo: confounded domain adaptation via generative modeling (TMLR, 2024)
Contributions:3 releases, 128 commits, 9 PRs in 9 months
statisticsmachine-learningadapterdomain-adaptationdomain
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