Brian Graham
Staff Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolBrian Graham is a Staff Data Scientist in Berkeley with a decade of experience building production-grade ML and GenAI systems that serve millions of users. He blends PhD-level research in biomechanical imaging and experimental hardware with hands-on MLOps and software engineering—having moved research prototypes into scalable services using FastAPI, Prefect, and Python monorepos. At WeightWatchers he led generative-AI features for 4M+ members, optimized CI/CD to cut build times by 200%, and used contextual bandits to preserve $7M in customer LTV. His background includes patented product development in defense and automotive contexts, and he frequently mentors early-career researchers to translate academic models into industry-ready ML products. Notably, he pairs deep scientific rigor with pragmatic product pivots, deciding when to shift from chatbots to higher-value in-app tools based on pilot data.
10 years of coding experience
11 years of employment as a software developer
PhD Mechanical Engineering, PhD Mechanical Engineering at University of DelawareBS Mechanical Engineering, BS Mechanical Engineering at The College of New Jersey
Github Skills (17)
ecology10
econometrics10
python9
agent-based-modeling9
prediction9
espn8
economics8
hypothesis-testing7
statistics7
forecasting7
regression-models7
modeling6
statsmodels6
data-analysis5
data-science5
Programming languages (2)
Github contributions (5)
bryangraham/short_courses
Sep 2016 - Dec 2022
Instructional materials for econometrics short courses
Contributions:68 commits, 70 pushes, 1 branch in 6 years 3 months
pythoneconometricsshort
bryangraham/Ec240a
Oct 2016 - Dec 2021
Course materials for Ec240a "Econometrics" at UC Berkeley.
Contributions:38 commits, 41 pushes, 1 branch in 5 years 2 months
agent-based-modelinguc-berkeleyberkeleyecologyeconometrics
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