Brian Henn
Senior Research Engineer at Allen Institute for AI (AI2)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBrian Henn is a Senior Research Engineer with a decade of experience applying machine learning and data engineering to environmental science, specializing in hydrology, meteorology, and civil engineering. He has a track record of turning research into production—deploying ML-enhanced climate and flood-forecasting systems at AI2 and Vulcan and building operational tools used by emergency managers during multi-state flood events. Comfortable across Python, MATLAB, GIS, and cloud/distributed compute, he focuses on improving predictive skill and computational efficiency of global models while producing compelling data-driven maps and visualizations. His academic background (PhD, UW; MS, Stanford; BS, Princeton) underpins rigorous probabilistic and HPC approaches, and his work often blends large-scale observation datasets with practical decision-support products. Notably, he has repeatedly moved prototype models into production workflows, bridging the gap between academic analysis and operational impact.
8 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.), Civil and Environmental Engineering, Master of Science (M.S.), Civil and Environmental Engineering at Stanford UniversityDoctor of Philosophy (Ph.D.), Civil and Environmental Engineering, Doctor of Philosophy (Ph.D.), Civil and Environmental Engineering at University of WashingtonBachelor of Science in Engineering, Civil and Environmental Engineeering, Bachelor of Science in Engineering, Civil and Environmental Engineeering at Princeton University
Github Skills (30)
parameterization10
keras10
data-versioning10
hyperparameter-tuning10
data-science9
api-client9
reinforcement-learning9
hub9
pytorch9
machine-learning9
ai9
huggingface9
hyperparameter-optimization9
collaboration9
jax8
Programming languages (5)
Github contributions (5)
ai2cm/ace2-paper
Dec 2024 - Jan 2026
Experiment configuration and figure notebooks for ACE2 paper
Contributions:4 reviews, 3 PRs, 13 pushes in 1 year 1 month
ai2cm/AIMIP
Dec 2025 - Jul 2026
Specification for intercomparison of AI-based climate models
Contributions:2 reviews, 2 PRs, 31 pushes in 7 months
aiclimate-model
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