Grace Tang
Staff Data Scientist, Research
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGrace Tang is a staff data scientist and research lead with 13 years of experience translating behavioral neuroscience and ML into product impact across startups and FAANG, currently driving research at Google after leading Creative Innovation data science at Netflix. She holds a PhD from Stanford in decision neuroscience and uniquely combines experimental rigor with product-focused A/B testing, having delivered creative optimization that added tens to hundreds of millions in annual value. Grace builds tools and pipelines end-to-end—from ETL and recommender systems at early startups to internal experimentation platforms at Uber and Netflix—and mentors newcomers through a popular Stanford Continuing Studies course she designed. Her work sits at the intersection of behavioral economics, neuroscience, and generative AI, and she brings a writer’s sensibility (hard sci-fi and fiction) to framing problems and communicating findings.
13 years of coding experience
13 years of employment as a software developer
BSc Biology (Neuroscience), BSc Biology (Neuroscience) at University of Wisconsin-MadisonDoctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Stanford University
Stackoverflow
614reputation
44kreached
3answers
11questions
Github Skills (11)
emr6
heroku6
hive6
bash6
python6
colorbar6
scatter6
r6
cran6
machine-learning1
neuroimaging1
Programming languages (1)
Github contributions (5)
mirri66/mirri66.github.io
Mar 2014 - Sep 2019
Contributions:63 commits, 60 pushes in 5 years 6 months
mirri66/Stanford-PsychToolBox
Oct 2012 - Jul 2013
Contributions:16 commits in 8 months
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