J Nichol
Postdoctoral Appointee at Sandia National Laboratories
Albuquerque, New Mexico, United States
Summary
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Senior🎓
Top SchoolJ. Nichol is a Postdoctoral Appointee in Scientific Machine Learning at Sandia National Laboratories with 11 years of experience blending causal discovery, trustworthy ML, and applied robotics research. He completed a PhD in Computer Science at the University of New Mexico where he developed CaStLe, an algorithm for recovering local causal structures in complex spatiotemporal systems like climate and Earth system models. His background spans hands-on swarm robotics design, autonomous systems deployment, and data-driven Earth system research, reflecting an uncommon mix of hardware, software, and ML expertise. He also holds an MBA and has commercialized robotics through a small business, bringing product-minded engineering to research problems. Based in Albuquerque, he leverages mentorship from national-lab and academic advisors to translate causal methods into practical tools for trustworthy climate modeling.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of New Mexico School of EngineeringMaster of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at The University of New Mexico - Robert O. Anderson School of Management
Github Skills (48)
python10
statistics10
machine-learning10
data-analysis10
data-science9
scikit9
scikit-learn9
causal8
editor8
typescript8
electron8
microsoft7
vscode-extension7
vscode7
causal-inference7
Programming languages (6)
Github contributions (5)
BCLab-UNM/Swarmathon-Robot
Sep 2015 - Mar 2018
Contributions:158 commits, 37 pushes, 4 branches in 2 years 6 months
jjakenichol/CAD-Projects
Jan 2017 - Mar 2021
Contributions:14 pushes, 1 branch in 4 years 1 month
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