Jesse Lieman-sifry
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJesse Lieman-sifry is a Director of Machine Learning in San Francisco with a decade of experience building FDA-cleared medical imaging AI, particularly leading the design and clearance of the largest suite of dental AI detections to date. He combines deep technical expertise in 3D computer vision and segmentation with product-focused regulatory strategy, translating clinician workflows into validated, clinically impactful software. His background spans hands-on algorithm design, clinical validation and FDA communication, and team leadership that balances computer vision excellence with measurable patient and business outcomes. Early work ranges from astrophysics research using MCMC to start-up ML roles, reflecting a strong foundation in quantitative modeling and a knack for tackling domains with high inter-observer variability.
10 years of coding experience
10 years of employment as a software developer
Astronomy Physics, Astronomy Physics at Wesleyan UniversityData Science, Data Science at Galvanize Inc
Github Skills (10)
pytorch10
python10
data-science9
tensorflow9
machine-learning9
deep-learning9
jax8
toolbox7
neural-network7
mnist6
Programming languages (1)
Github contributions (5)
arasharchor/mnist-fun
Feb 2016 - Feb 2016
Contributions:35 commits in 9 days
deep-learningperformancenoisymnistnoisy-data
jliemansifry/semantic-segmentation
Feb 2016 - Mar 2016
Contributions:39 commits, 36 pushes, 1 branch in 24 days
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