Michael Mccourt
Director Of ML Ops at Torc Robotics
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Mccourt is a Director of ML Ops with a decade of experience building production-grade infrastructure for machine learning and robotics, currently leading ML Ops at Torc Robotics to enable CV and RL model development and validation for autonomous trucks. He combines deep research pedigree—a PhD in Applied Mathematics from Cornell—with hands-on leadership across startups and enterprises, including co-founding Distributional and leading research teams at SigOpt and Intel. Michael’s work spans efficient multi-objective optimization, experimental design, and system monitoring for heterogeneous CPU/GPU platforms, bridging research and operationalization. Based in New York, he’s known for turning rigorous academic methods into practical tooling for testing and validating AI systems, and he keeps a focused private GitHub presence tied to SigOpt projects.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Illinois Institute of TechnologyDoctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Cornell University
Github Skills (20)
python9
gpu9
monte-carlo9
approximation9
deep-learning8
robustness8
machine-learning8
computation8
neural-network7
numpy7
mathematics7
optimization7
julia7
gpu-acceleration6
tensor6
Programming languages (3)
Github contributions (5)
sigopt/evalset
Apr 2016 - Jun 2017
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
Contributions:7 commits in 1 year 2 months
benchmarkingbenchmark-suiteboxrobustnessoptimization
mikemccourt/gaussqr
Jun 2017 - Dec 2018
Tools for computation with positive definite kernels (RBFs) in approximation, optimization and PDEs
Contributions:16 commits in 1 year 7 months
computationoptimizationkernelsapproximationjulia
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