Eric Tramel

Principal Research Scientist at NVIDIA

Metro Jacksonville United States
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Summary

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Eric Tramel is a principal research scientist and leader with 13+ years of experience at the intersection of statistical physics, signal processing, and machine learning, now focused on privacy-aware and federated learning in production settings. He earned a PhD in Computer Engineering and built early foundational work in compressed sensing for high-dimensional imagery, co-inventing a patented light-field acquisition system during a Canon research internship. Across postdocs in France and roles at Owkin, Amazon, Unlearn.AI, Gretel and now NVIDIA, he has transitioned academic advances—message-passing algorithms, unsupervised neural interpretations, and probabilistic digital-twin generators—into applied teams and deployable systems. He has published and lectured widely (ICML, NIPS) and led Owkin’s Federated Learning Research Group, blending algorithmic research, engineering, and regulatory-sensitive medical data work. Notably, his career threads deep theoretical insight with hands-on productization of privacy-preserving ML for healthcare and consumer devices.
code13 years of coding experience
job10 years of employment as a software developer
bookPhD Computer Engineering, PhD Computer Engineering at Mississippi State University
languagesEnglish, French
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Github Skills (107)

jekyll10
approximate9
python9
optimization9
logger9
jekyll-theme9
reinforcement-learning9
linux8
bibtex8
citations8
ray8
traverse8
deep-learning8
gpu8
parallel8

Programming languages (10)

JuliaTypeScriptCSSShellGherkinLuaHTMLJupyter Notebook

Github contributions (5)

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eric-tramel/SwAMP-Demo

Jun 2014 - Dec 2014

Contributions:40 commits in 6 months
sphinxteam/Boltzmann.jl

Sep 2015 - Mar 2016

Contributions:169 commits, 16 PRs, 128 pushes in 6 months
machinesboltzmann-machinesboltzmannrestrictedrestricted-boltzmann-machines
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Eric Tramel - Principal Research Scientist at NVIDIA