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 (14)
econometrics10
prediction8
economics8
statistics7
regression-models6
python6
hypothesis-testing5
forecast5
forecasting5
data-science4
data-analysis4
statistical-models4
statsmodels3
generalized-linear-models3
Programming languages (2)
Github contributions (5)
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
econometrics
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
econometrics
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