Abbie Popa
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAbbie Popa is an Associate Director of Data Science in the San Francisco Bay Area with 10 years of experience turning complex data into actionable business decisions across healthcare, mobile analytics, and neuroscience. She blends deep technical expertise in machine learning and Monte Carlo simulation with product-focused delivery—building internal web tools for forecasting, leading model improvements for App Annie’s core revenue and downloads products, and producing market-sizing analyses for Merck’s oncology portfolio. Her background as a PhD neuroscientist and postdoc informs a rigorous experimental approach, having applied self-supervised embeddings and large-scale EEG pipelines to clinical questions while mentoring teams and teaching data science. Known for driving operational best practices (CI, version control, code review) and cross-functional collaboration, she consistently converts research-grade methods into production-ready solutions that reduce support load and improve forecasting accuracy.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at University of California, DavisBachelor of Science (BS) Cognitive Neuroscience, Bachelor of Science (BS) Cognitive Neuroscience at Brown University
Github Skills (14)
scikit-learn10
data-analysis10
statistics10
machine-learning10
python10
data-science10
data-structure9
pandas9
data-structures9
stable5
shell4
automation3
unix3
jekyll2
Programming languages (2)
Github contributions (5)
abbiepopa/BSDS100
Aug 2018 - Oct 2018
Contributions:47 commits, 145 pushes in 2 months
abbiepopa/CV
Aug 2016 - Apr 2024
Contributions:70 pushes, 1 branch, 2 issues in 7 years 9 months
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