Danni Lu
Sr. Applied Scientist at Uber
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolDanni Lu is a senior applied scientist in the San Francisco Bay Area blending two Ph.D.s—in Statistics and Transportation—with 9 years of hands-on experience applying causal inference and deep learning to transportation safety and planning. At Uber she translates rigorous Bayesian and representation-learning research into production analytics for road safety and insurance, building on a long record of developing bespoke causal frameworks for individualized crash risk. Her work at Virginia Tech and Genentech shows a knack for combining survival models, network analysis, and empirical Bayes to improve decision-making and policy triggers while controlling false positives. Comfortable at the intersection of research and product, she routinely tackles noisy, uncertain, and partially observed data to surface actionable insights. Colleagues describe her as an applied statistician who brings academic rigor to real-world safety problems, with a proven ability to turn complex models into operational tools.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Transportation Planning and Management, Doctor of Philosophy (Ph.D.) Transportation Planning and Management at Tongji UniversityDoctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Virginia TechBachelor's degree (B.S.) Mathematics, Bachelor's degree (B.S.) Mathematics at Fudan UniversityGithub contributions (5)
DannieLu/dannielu.github.com
Oct 2016 - Feb 2021
Contributions:12 pushes, 1 branch in 4 years 4 months
DannieLu/Spatial-Pattern-of-Population-Movement-in-Shanghai
Oct 2016 - Mar 2017
Contributions:19 commits, 22 pushes, 1 branch in 5 months
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