Jeff Sorensen
Applied Scientist at Adaptive Innovations
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Sorensen is an applied scientist with 11 years of experience building production ML systems and analytical frameworks across healthcare and cloud infrastructure. Currently leading AWS’s Early Detection program, he designs ML models that spot hardware failures early and translate signals into actionable recommendations for partner teams. Prior roles span principal and senior data science work at Optum, Cigna, and Intermountain Health where he drove decisioning engines, bias measurement, and lifecycle analytics; he also brings hands-on biostatistics training from the University of Utah. Comfortable with infrastructure-as-code and cross-account deployments as well as experimental design and Monte Carlo power analyses, Jeff blends statistical rigor with production engineering. Notably, his background includes live-animal surgical research and deep collaboration with clinicians and engineers, reflecting a rare mix of lab, clinical, and cloud-scale ML experience.
11 years of coding experience
10 years of employment as a software developer
Master of Statistics Biostatistics, Master of Statistics Biostatistics at University of Utah School of MedicineThe University of Utah
Github Skills (91)
pii10
tuple10
probabilistic-programming10
python10
terminology10
deep-learning10
wordnet10
pip10
bayesian-methods10
streaming10
openlibrary10
pre-trained-model10
wikipedia10
tensorflowjs10
statistics10
Programming languages (9)
Github contributions (5)
kvarada/constructiveness
Jun 2019 - Nov 2022
Identifying constructive language in online communication
Contributions:10 commits, 9 PRs, 9 pushes in 3 years 5 months
nlpcommunicationconstructive
sorensenjs/oauth2client
Mar 2016 - Oct 2018
This is a Python library for accessing resources protected by OAuth 2.0.
Contributions:2 PRs, 4 pushes, 3 branches in 2 years 7 months
python-librarypythonprotectedoauth-2protected-resources
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