Jennifer Li
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJennifer Li is a director-level applied science leader with 12 years of experience building measurement, personalization, and optimization systems for marketing at scale. She led an 11-person brand science team at Uber and now directs applied science at Xero, with deep expertise in A/B and geo experiments, uplift and propensity modeling, media mix and attribution, and production recommender and bidding systems. Her work spans paid marketing, CRM, and SEO, and includes deploying online revenue-prediction models and integrating cross-device credit into multi-touch attribution—projects that blend rigorous causal inference with production ML. Trained as a neuroscientist (PhD, UCSF) with a BS from Caltech, she brings a research-first mindset to product problems and a track record of operationalizing complex analytics into campaigns that move metrics. An uncommon strength is her ability to translate advanced experimental designs (switchbacks, geo experiments) into reliably deployed measurement frameworks used by large marketing teams.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Biology, Bachelor of Science (B.S.), Biology at California Institute of TechnologyDoctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at UCSFWoods Hole Computational Neuroscience Course
English, Chinese, GermanGithub contributions (5)
lijenniferx/Basketball
Mar 2014 - Apr 2014
Contributions:21 commits in 28 days
lijenniferx/lijenniferx.github.io
Jun 2020 - Jun 2020
Contributions:40 pushes, 1 branch in 1 day
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