Colby Wilkinson is a Senior Principal Data Scientist based in Boston with eight years of cross-sector experience applying statistical and machine learning methods to healthcare, law, and national defense problems. Trained in biostatistics at Harvard T.H. Chan School, he combines rigorous experimental design and applied statistics with strong engineering skills in Python and R to own end-to-end data science delivery from messy EHRs and web-scraped filings to deployable models. At Vertex he has progressed through senior technical roles driving research-to-production efforts, and earlier work includes NIH-funded health disparities research and DoD projects in predictive maintenance and reinforcement learning for tactical decisions. Colby’s blend of domain breadth, hands-on data wrangling of unstructured sources, and experience presenting actionable insights to stakeholders makes him effective at translating complex signals into operational impact. An understated strength is his track record of turning academic research pipelines into reproducible, stakeholder-ready analyses across highly regulated environments.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Arts (B.A.), Quantitative Economics and Community Health, Bachelor of Arts (B.A.), Quantitative Economics and Community Health at Tufts University
Phillips Exeter Academy
Master of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at Harvard T.H. Chan School of Public Health
Forecasting weather measures in Boston using ARIMA and LSTM
Contributions:7 PRs, 8 pushes, 2 branches in 2 years
forecastingpythonarimalstmmachine-learning
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