Jesse Michel

Founding Research Scientist at Tutor Intelligence

Greater Boston United States
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Summary

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Rockstar
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Top School
Jesse Michel is a founding research scientist and roboticist with 11 years of experience blending deep theory and practical systems engineering across ML, differentiable programming, and physics-based simulation. He recently finished a PhD at MIT where he extended distribution theory to make physical simulations and rendering differentiable end-to-end, spanning math, semantics, compiler work, and numerical integration. Jesse has a strong industry track record from internships at Google, Microsoft, IBM, ASAPP and clinical and biotech analytics projects, bringing both production engineering and research rigor to product contexts. At Tutor Intelligence he applies that cross-disciplinary expertise to build "robot brains" that tightly couple data, models, and systems. He pairs a pure math and CS background with hands-on experience in compilers, large-model compression, and simulation, which lets him move fluidly between abstract proofs and shipping code. Notably, his work emphasizes formal foundations for practical compute—making theoretically grounded tools that scale to real-world pipelines.
code11 years of coding experience
job1 year of employment as a software developer
bookMaster of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of Technology
bookMassachusetts Academy of Math and Science
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Github Skills (73)

python10
drag10
differentiation10
cpp10
javascript10
integral10
tensorflowjs10
browser10
gradient10
differentiable-programming10
high-performance10
typescript10
in-browser10
automatic-differentiation10
derivative10

Programming languages (9)

JuliaTypeScriptLLVMOCamlJavaScriptMathematicaMLIRJupyter Notebook

Github contributions (5)

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martinjm97/GeoMax.jl

Mar 2017 - Jul 2017

Contributions:38 commits, 4 PRs, 36 pushes in 4 months
manoptjulia
martinjm97/ENNUI

Oct 2018 - Oct 2020

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.
Contributions:387 commits, 2 pushes, 1 comment in 2 years
user-interfacepythontensorflowjsbrowserexport
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Jesse Michel - Founding Research Scientist at Tutor Intelligence