Brian Vegetabile
Staff Data Scientist, Applied Science
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolBrian Vegetabile is a Staff Data Scientist and PhD statistician with 11 years of experience applying causal inference and statistical machine learning to real-world observational problems across policy, science, and product domains. At LinkedIn he drives systems and marketplace understanding, blending forecasting, anomaly detection, and root-cause analysis with rigorous causal methods to inform operational decision-making. His research background at RAND and UC Irvine emphasizes interpretable and explainable ML, exploring how explainability tools change model understanding and downstream decisions. Trained as an aerospace engineer and systems engineer early in his career, he brings a systems-thinking perspective and strong computational skills (Bayesian modeling with Stan, Python) to scalable applied-research problems.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science, Aerospace Engineering, Bachelor of Science, Aerospace Engineering at Penn State UniversityCalifornia Institute of TechnologyUniversity of California, Irvine
Github Skills (4)
creative-commons2
journal2
academia1
open-access1
Github contributions (5)
bvegetabile/ccber
Aug 2017 - Jun 2018
Contributions:36 commits, 9 pushes in 9 months
bvegetabile/gpbalancer
Sep 2017 - Apr 2019
Contributions:51 commits, 22 pushes in 1 year 7 months
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