David Staub
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Staub is a Senior Data Scientist based in San Francisco with 12 years of experience applying machine learning, computational modeling, and medical imaging expertise to real-world problems. He combines a PhD in Medical Physics with hands-on software skills in Python, Matlab, C, CUDA, SQL, and Java to build and accelerate models—often leveraging GPU computing for significant performance gains. His background spans academic research with multiple peer-reviewed publications to product-focused roles at Sentient Technologies and Airbnb, where he translates complex math into production-ready solutions. Comfortable across conventional ML and deep learning, he uses multivariate calculus, linear algebra, and statistical validation to ensure robust, interpretable results. Colleagues know him for bridging rigorous research methods with pragmatic engineering, routinely moving prototypes into scalable pipelines. An often-overlooked strength is his ability to apply medical imaging techniques and domain knowledge to non-medical prediction tasks, giving him a unique angle on feature engineering and model validation.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Duke UniversityDoctor of Philosophy (Ph.D.), Medical Physics, Doctor of Philosophy (Ph.D.), Medical Physics at VCU School of Medicine
Github Skills (107)
python10
realms10
deep-learning10
scikit10
statistics10
jax10
data-science10
tensorflow10
data-analysis10
pytorch10
machine-learning10
scikit-learn10
simplify9
mesh9
optimizer9
Programming languages (5)
Github contributions (5)
staubda/scikit-learn
Jul 2016 - Aug 2016
Contributions:21 pushes, 4 branches in 26 days
pythondata-sciencelearn-machine-learningmachine-learningscikit-learn
staubda/partial-data
May 2020 - Jul 2020
Contributions:24 pushes, 1 branch in 2 months
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