Brian Henn
Senior Research Engineer at Allen Institute for AI (AI2)
Seattle, Washington, United States
Summary
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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.
7 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 (28)
parameterization10
reinforcement-learning10
keras10
data-versioning10
explore10
hyperparameter-tuning10
data-science9
shield9
visualization9
pytorch9
machine-learning9
ai9
api9
deep-learning9
hyperparameter-optimization9
Programming languages (4)
Github contributions (5)
ai2cm/vcm-ml-example-data
Feb 2021 - Sep 2021
Open access to data for documentation examples and tests of VCM-ML code
Contributions:6 PRs, 12 pushes, 7 branches in 6 months
open-accessdocumentation-examplesmlmachine-learningmlops
ai2cm/nudge-to-fine-3km-manuscript-workflow
Aug 2021 - Jan 2022
A reproducible set of workflows for the N2F-3km manuscript
Contributions:2 PRs, 10 pushes, 1 branch in 5 months
workflowsmanuscriptreproducibleworkflow
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