Christina Brasco is a Senior Data Scientist in Boston with 11 years of experience building end-to-end ML solutions across energy, advertising, and industrial domains. She combines rigorous academic training (MS Stanford, BS Yale) with hands-on product and research work at Google, GE Digital, and energy startups, delivering cost-optimizing optimization algorithms, robust forecasting models, and infrastructure for scalable experimentation. At Arbor she led ML standardization, data-quality improvements, and quantified emissions impacts of AI development—an unusual blend of technical leadership and sustainability-minded modeling. Christina excels at translating complex statistical methods (Empirical Bayes, mixed effects, survival models) into production-ready systems that influence commercial strategy and save millions. Outside of work she balances endurance pursuits and woodworking, a detail that underscores a methodical, results-oriented approach both in code and craft.
11 years of coding experience
12 years of employment as a software developer
Coursework, Computer Science, Coursework, Computer Science at Oregon State University
BS, Mathematics (Intensive)/Physics (Intensive), BS, Mathematics (Intensive)/Physics (Intensive) at Yale University
MS, Management Science and Engineering, MS, Management Science and Engineering at Stanford University
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