Michael Draugelis
AVP Of Artificial Intelligence at Geisinger
Greater Philadelphia United States
Summary
👤
Senior🎓
Top SchoolMichael Draugelis is an accomplished AI and data science leader with a 25+ year engineering foundation and nine years focused on building enterprise AI in healthcare. He has led cross-functional teams from research to production—standing up predictive health platforms, migrating operations to Google Cloud, and scaling clinical AI across multi-hospital systems. Earlier work in advanced signal processing and machine learning powered programs like Hubble, GPS, and missile defense, and he has translated that rigor into validated real-time clinical analytics. At Geisinger he now directs organization-wide AI strategy and operational deployment, combining technical depth with clinician collaboration and human factors practice. Notably, he launched predictive health capabilities from scratch at Hackensack Meridian and recruited diverse talent to bridge research, product, and DevOps for measurable clinical impact.
9 years of coding experience
11 years of employment as a software developer
(Not Completed) MS courses Electrical Engineering, (Not Completed) MS courses Electrical Engineering at University of Colorado at BoulderBS Abstract Mathematics, BS Abstract Mathematics at Michigan State University
Stackoverflow
83reputation
7kreached
0answers
2questions
Github Skills (36)
medicine10
predictive9
bayesian9
converting8
validating7
bayesian-inference7
mongodb6
validation6
python6
datetime6
pandas6
pickle6
ajv5
schema-validation5
json5
Programming languages (4)
Github contributions (5)
pennsignals/pennsignals.github.io
Jun 2017 - Jan 2021
Penn Medicine Predictive Healthcare Blog
Contributions:2 reviews, 29 commits, 7 PRs in 3 years 7 months
predictivepennhealthcaremedicine
Mdraugelis/causal-eval
Jan 2025 - Feb 2025
Contributions:10 pushes in 1 month
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