Brian Segal
Staff Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolBrian Segal is a Staff Data Scientist with a decade of experience applying rigorous statistical and quantitative methods to climate-solutions in agriculture and health research. At Indigo he leads teams building production-grade quantification pipelines that translate sensor data and biogeochemical models into defensible estimates of greenhouse gas and water impacts for supply-chain programs like Source Rice. His background in biostatistics and PhD-level modeling is rooted in academic and industry roles—from Flatiron Health’s real-world evidence studies to university research on longitudinal bone and health behavior datasets—giving him deep expertise in uncertainty quantification and bias mitigation. He combines hands-on model calibration, software design, and team leadership (including scrum mastery) to deliver auditable, policy-relevant analytics. An early-career environmental analyst and former EPA intern, he brings a long-standing interest in environmental health and lifecycle assessment that informs his pragmatic approach to climate-smart agriculture.
10 years of coding experience
11 years of employment as a software developer
Virginia TechMaster of Science (MS), Biostatistics, Master of Science (MS), Biostatistics at University of Michigan School of Public Health
English
Github Skills (5)
python9
kubernetes9
parameter-estimation5
machine-learning4
optimization4
Programming languages (2)
Github contributions (5)
bdsegal/bdsegal.github.io
Feb 2018 - Jan 2025
Contributions:117 pushes, 4 branches in 7 years
bdsegal/fastPerm
Nov 2015 - Jul 2019
Contributions:40 commits, 35 pushes, 1 branch in 3 years 8 months
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