Postdoc In AI Research Group at Lawrence Livermore National Laboratory
Raleigh-Durham-Chapel Hill Area United States
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Summary
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Conor Artman is a postdoctoral researcher in Lawrence Livermore National Laboratory’s Applied Machine Learning Group with a PhD in statistics from NC State and nine years of experience applying ML, reinforcement learning, and agent-based modeling to high-consequence decision support. He builds practical, reproducible tools—such as the Open ABM Gym, a MESA-based Python framework available via pip—to accelerate agent-based modeling and make experiments easier to replicate. His background spans academic and government labs (Duke, PNNL, LLNL) and industry programs (IBM Science for Social Good), where he has translated behavioral-science insights into algorithms for resource allocation, screening, and intervention design. Conor combines deep statistical rigor with hands-on ML engineering across Python, R, SAS, and MATLAB, and has applied these skills to problems from ultrasound image segmentation to restless multi-armed bandit policies for social services. Notably, his work often targets messy real-world data and operational constraints—optimizing decision systems that must work under partial observability and human behavior. He is motivated by bridging academic advances and practical impact in complex socio-technical systems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at North Carolina State University
University of Georgia
Master's degree, Statistics, Master's degree, Statistics at North Carolina
Python files taken from the master and template branches for our RAT example
Contributions:69 commits, 4 PRs, 43 pushes in 2 years 6 months
branchestemplatepythonnetwork-toolspython-files
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Conor Artman - Postdoc In AI Research Group at Lawrence Livermore National Laboratory