Michael Mastanduno
ML Product Engineering Lead at Health Catalyst
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolMichael Mastanduno is an ML product engineering lead with a decade of experience shipping AI systems that tangibly improve healthcare operations and patient care. He’s taken research-grade models through production—building LLM-driven cost intelligence, causal inference and forecasting platforms, and a COVID-19 capacity planner adopted by 100+ hospitals—while maintaining enterprise-grade infrastructure on Azure Kubernetes. His background (PhD in medical imaging, Stanford postdoc) gives him deep domain expertise in medical data and imaging, paired with hands-on skills in Python, R, Go, LLMs, causal ML, and time-series forecasting. He excels at 0-to-1 product work and cross-functional delivery, embedding ML into BI tools and clinical workflows so teams actually use the models he ships. Colleagues know him as a pragmatic leader who mentors engineers, prioritizes customer impact over vanity metrics, and reliably delivers high-uptime production services used across 50+ health systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Physics, Bachelor of Arts (BA) Physics at Colorado CollegeDoctor of Philosophy (Ph.D.) Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering at Thayer School of Engineering at Dartmouth
Github Skills (46)
r10
machine-learning10
forecasting-models9
visualization9
charts9
forecasts9
svg9
forecasting9
forecast9
data-visualization8
canvas8
python8
apache8
browser8
dbi8
Programming languages (7)
Github contributions (5)
HealthCatalyst/healthcareai-r
Dec 2016 - Sep 2022
R tools for healthcare machine learning
Contributions:7 releases, 896 commits, 195 PRs in 5 years 9 months
healthcaremachine-learningr
HealthCatalyst/documentation
Dec 2016 - Feb 2017
Contributions:28 commits, 21 pushes, 5 branches in 1 month
data-sciencehostedmachine-learningnotebooksposts
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