Connor Robertson

Postdoctoral Researcher at Sandia National Laboratories

Bentonville, Arkansas, United States
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Summary

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Senior
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Top School
Connor Robertson is a Postdoctoral Researcher at Sandia National Laboratories with nine years of experience applying scientific machine learning to surrogate modeling, Bayesian and variational inference, and data-driven model discovery for complex physical and biological systems. He bridges theory and practice by turning experimental video, agent-based models, and noisy spatiotemporal data into calibrated predictive models using tools from Gaussian processes and neural differential equations to Stein variational inference and MCMC. His PhD work extracted governing PDEs from active nematic experiments, and his projects have ranged from forecasting bacterial colony growth with recurrent networks to predicting urban water-main failures as a cofounder of a startup. Based in Bentonville, Arkansas, he combines strong numerical analysis and teaching experience with a track record of translating computational mathematics into deployable surrogate models for real-world decision-making.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at New Jersey Institute of Technology
bookBachelor of Science - BS, Computational and Applied Mathematics, Bachelor of Science - BS, Computational and Applied Mathematics at Brigham Young University
languagesEnglish, Spanish
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Github Skills (116)

symbolic-computing10
forge10
mason10
mathematics10
cas10
symbolic-math10
reactive9
computer-algebra-system9
pipeline9
sql9
pyright9
high-performance9
effort9
dataflow9
recall9

Programming languages (8)

JuliaCSSShellJavaScriptLuaJupyter NotebookVim ScriptPython

Github contributions (5)

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Personal website
Contributions:93 pushes, 3 branches in 5 years 7 months
reactnextjs
cnrrobertson/nvim-repl-cells

Sep 2021 - Jan 2023

Contributions:55 commits, 47 pushes, 2 branches in 1 year 3 months
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