Bridget Bertoni
SF Bay Area
Summary
👤
SeniorBridget Bertoni is a Staff Applied Researcher in Machine Learning with a decade of experience applying data science to healthcare, government policy, and enterprise search. She designs responsible, production-ready ML pipelines that integrate with SNF and hospital EHRs at PointClickCare, drawing on prior work at Humana where she combined causal inference and interpretability methods to shape interventions for at-risk Medicare populations. Earlier roles at Microsoft and Acumen honed her ability to translate business problems into scalable ML and analytics solutions on Azure, including ML-driven document search and payment-forecasting models. Trained as a theoretical particle physicist (PhD) who searched for dark matter using quantum field theory and telescope data, she brings a rare blend of rigorous quantitative research, production engineering, and policy-savvy impact evaluation. Based in Austin, she excels at turning complex clinical and operational data into actionable, ethically monitored models that demonstrably improve care and reduce costs.
10 years of coding experience
Github Skills (20)
xai10
interpretable-machine-learning10
blackbox10
differential-privacy9
transparency9
iml9
scikit-learn8
ai8
machine-learning8
gradient-boosting8
artificial-intelligence8
causal-inference7
causality7
econometrics6
economics5
Programming languages (4)
Github contributions (5)
bbertoni/HackingSymptoms
Jul 2020 - Jul 2020
Docs and Code repository for Hackathon 2020: Diagnosing rare diseases with AI - Hacking symptoms
Contributions:16 commits, 9 pushes in 3 days
ai
bbertoni/R-Programs
May 2016 - Jun 2016
Contributions:53 pushes, 1 branch in 1 month
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