Summary
Geoffrey Poon is a data scientist with 8 years of quantitative research experience and 3+ years building transaction-data products that help investors and corporations evaluate consumer companies and industries. With a Ph.D. in Chemical Engineering from UC Santa Barbara and training from The Data Incubator, he blends rigorous stochastic modeling and Monte Carlo methods from academia with practical, stakeholder-driven metrics and visualizations in product settings. At Second Measure and now Bloomberg he translates vague business questions into measurable signals, designing analytics that scale to large transaction datasets. He has a track record of inventing new models—such as stochastic nucleation frameworks during his Ph.D.—and mentoring junior researchers while driving cross-functional collaboration. Based in Los Angeles, he thrives on working with customer-obsessed teams to turn complex data into clear, actionable insights.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Chemical Engineering, Bachelor of Science (BS), Chemical Engineering at University of California, Berkeley
Data Science, Data Science at The Data Incubator
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at UC Santa Barbara