Mardochée Réveil
Vice President, AI & Modeling For Materials Innovation
Alexandria, Virginia, United States
Summary
👤
Senior🎓
Top SchoolMardochée Réveil is an AI and scientific computing executive with 10 years of experience, currently serving as Vice President, AI & Modeling for Materials Innovation at Standard Industries. He brings deep technical rigor from a Ph.D. in Chemical Engineering (Cornell) and a track record of translating advanced modeling and AI for science into portfolio-wide industrial impact. Based in Alexandria, VA, he specializes in applying machine learning to materials discovery and process modeling, bridging research-grade methods with scalable engineering practices. His background—spanning chemistry through to doctoral-level chemical engineering—gives him a rare ability to speak fluently to both lab scientists and data engineers. Although active on GitHub under the theme "AI for Science," his focus is on building durable applied capabilities rather than publicity, emphasizing practical deployment and cross-functional integration.
10 years of coding experience
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at Syracuse UniversityDoctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Cornell UniversityBachelor, Chemistry, Bachelor, Chemistry at Université d'Etat d'Haïti
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
agent-based-simulation9
computation9
agent-based-modeling9
simulation9
transmission8
modeling8
python8
agent7
machine-learning6
monitor3
dashboard2
Programming languages (4)
Github contributions (5)
corning-incorporated/citam
Sep 2020 - Sep 2022
COVID-19 Indoor Transmission Agent-based Modeling Platform
Contributions:22 reviews, 602 commits, 50 PRs in 2 years 1 month
indoor-environmentspythonagent-basedagentagent-based-modeling
mreveil/seing
Jan 2018 - Mar 2022
Molecular fingerprints computation for machine learning applications
Contributions:2 reviews, 33 commits, 33 pushes in 4 years 2 months
computationmachine-learningmolecularfingerprints
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