Kelli Humbird
Group Leader For Computational Physics
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolKelli Humbird is a computational physics leader and design physicist at Lawrence Livermore National Laboratory with nine years of experience advancing inertial confinement fusion and high energy density physics. As Group Leader for Computational Physics and lead of the ICF Cognitive Simulation team, she blends hands-on experiment design with machine learning and uncertainty quantification to accelerate predictive simulation workflows. She holds a PhD in Nuclear Engineering from Texas A&M and has progressed from design physicist to group leadership while remaining deeply technical. Her work emphasizes integrating ML-driven surrogates and UQ into fusion design cycles, reducing experiment turnaround and improving confidence in high-stakes predictions. Based in Livermore, she bridges national-lab scale research with practical computational engineering, mentoring teams to deliver reproducible, physics-informed models.
9 years of coding experience
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at Texas A&M University
Stackoverflow
65reputation
9kreached
0answers
2questions
Github Skills (14)
machine-learning10
python10
tensorflow9
neural-network9
deep-learning9
algorithm8
ml8
deep-neural-networks8
beautifulsoup6
webscraping6
parsing6
tidyr6
r6
dataframe6
Programming languages (2)
Github contributions (5)
llnl/DJINN
Jul 2018 - Jul 2022
Deep jointly-informed neural networks -- as easy-to-use algorithm for designing/initializing neural nets
Contributions:37 commits, 6 PRs, 29 pushes in 4 years
neural-networkmachine-learningdeep-learning
khumbird/nuen-rad-hyrdro
Mar 2017 - Apr 2017
Contributions:20 commits, 19 pushes, 2 branches in 1 month
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