Summary
William Boag is a Senior Healthcare Data Lead based in Cambridge, MA with 11 years of experience applying machine learning and policy insight to improve patient outcomes across academic, nonprofit, and government settings. He holds a PhD from MIT where his research probed how mistrust and policy interact with ML-driven healthcare decisions and produced work on radiology report generation and fairness-aware pipelines. At Duke Health he built predictive models to flag high-risk pregnancies to prevent sepsis and postpartum hemorrhage, and now leads data efforts for MassHealth serving Medicaid and CHIP populations. His background spans NLP, clinical concept extraction, and deploying end-of-life care models, reflecting a rare blend of rigorous research and production-focused deployment. William’s career choices show a consistent throughline: using technical skill to address structural inequities in healthcare rather than pursuing pure model novelty. Outside work he signals regional roots and personality with references like Terrier, River Hawk, Beaver, hinting at New England ties and a pragmatic, industrious approach.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Massachusetts Institute of Technology
Diploma, Diploma at Dracut Senior High School
Bachelor of Science (BS), Computer Science, 4.0, Bachelor of Science (BS), Computer Science, 4.0 at University of Massachusetts at Lowell
Mechanical Engineering, Mechanical Engineering at Boston University