Philip Solimine
Senior Data & Applied Scientist
Redmond, Washington, United States
Summary
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Senior🎓
Top SchoolPhilip Solimine is a Senior Data & Applied Scientist at Microsoft with ten years of experience applying economics, causal inference, and machine learning to marketing measurement and experimentation. He builds measurement frameworks, structural and causal models, and platforms that translate attribution and incrementality into actionable allocation and bidding strategies for marketing and sales teams. Previously at Chewy he developed paid media mix modeling, optimization, and forecasting tools used for financial reporting and cross-channel budget decisions. His academic background as a UBC postdoctoral researcher and economist gives him a research-driven approach to computational network methods, structural econometrics, and control-theoretic targeting. Comfortable moving models from theory to production, he blends rigorous causal identification with pragmatic experiment design to improve auction signaling and ad performance. Based in Redmond, he combines deep quantitative training with hands-on marketing science to bridge academia and product impact.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy Economics, Doctor of Philosophy Economics at Florida State University
English, German
Github Skills (40)
economics10
python9
jit8
automatic-differentiation8
composable8
gpu8
machine-learning8
autodiff8
pytorch8
data-science8
bayesian-statistics7
probabilistic-graphical-models7
tpu7
causal-inference7
causality7
Programming languages (7)
Github contributions (5)
doctor-phil/input-design
Jan 2020 - Mar 2023
Contributions:74 pushes, 1 branch in 3 years 2 months
doctor-phil/personal-website
Jul 2022 - Feb 2025
Contributions:448 pushes, 1 branch in 2 years 6 months
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