Mark Veillette

Senior Solutions Architect at NVIDIA

Westford, Massachusetts, United States
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Summary

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Senior
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Top School
Mark Veillette is a Senior Solutions Architect and former Senior Technical Staff member at MIT Lincoln Laboratory who builds operational AI systems for weather and air-traffic resilience, now bringing that expertise to NVIDIA. He specializes in machine learning, deep learning, and probabilistic modeling to deliver production systems such as the FAA’s Offshore Precipitation Capability and the US Air Force’s Global Synthetic Weather Radar. His work spans real-time forecasting, synthetic radar generation, and decision-support for defense and civil aviation, coupling research-grade models with high-performance computing requirements. A Ph.D. in Mathematics with early research in stochastic processes and cell-motility modeling, he blends rigorous theory with practical system delivery and mentors the next generation of researchers. As co-lead of the MIT Earth Intelligence Engine and Associate Chief Editor for AI in the Bulletin of the American Meteorological Society, he helps shape both applied tools and the scientific conversation around AI for Earth systems. Colleagues describe him as someone who routinely moves algorithmic advances into operational workflows that demand reliability at scale.
code12 years of coding experience
bookB.S. Mathematics, B.S. Mathematics at Bucknell University
bookPhD Mathematics, PhD Mathematics at Boston University
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Github Skills (29)

sprinkler10
solar-energy8
data-science7
pytorch7
lasagne7
scheduler7
machine-learning7
renewable-energy7
documented7
python7
photovoltaic7
bayesian6
deep-learning6
tensorflow6
aws6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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markveillette/rpi_sprinkler

Feb 2016 - Jun 2021

A scheduler system that turns on a sprinkler system based on past rainfall amounts
Contributions:38 commits, 1 PR, 30 pushes in 5 years 4 months
amountssprinklerschedulerturnsrainfall
MIT-AI-Accelerator/eie-sevir

Mar 2020 - May 2022

Code for working with the SEVIR weather dataset
Contributions:17 commits, 49 pushes, 1 branch in 2 years 2 months
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