Grace Guan
Machine Learning Engineer at Stripe
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolGrace Guan is a Machine Learning Engineer and final-year PhD candidate in Management Science and Engineering at Stanford with a decade of experience building production ML systems and research tools. She has interned at DeepMind and Google, contributed backend testing infrastructure for the Simulated Hospital project that sped releases for DeepMind’s Streams app, and worked on matching and allocation problems with real-world impact (including organ allocation with Nobel laureate Al Roth). Her industry roles span data and ML engineering at Two Sigma, Lyft, and Stripe, where she blends algorithmic rigor with scalable software practices. Grace’s work bridges academic research and production: she publishes and ships systems, turning theoretical insights into reliable products. Based in Palo Alto, she combines elite academic training with hands-on engineering across back-end APIs, recommendation/NLP, and optimization.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Princeton UniversityDoctor of Philosophy - PhD, Management Science and Engineering, Doctor of Philosophy - PhD, Management Science and Engineering at Stanford University
Github Skills (5)
google-chrome-extension10
google-chrome9
chrome-extension8
chrome7
monorepo1
Programming languages (2)
Github contributions (5)
guanzgrace/cbs-patient-surge-models
May 2019 - Jul 2019
Contributions:39 commits in 1 month
guanzgrace/stretch
Jun 2017 - Apr 2020
Reminds users to perform physical therapy exercises. On Google Chrome Extension Store. [Physera] [Summer 2017]
Contributions:113 commits, 11 PRs, 109 pushes in 2 years 10 months
therapygoogle-chrome-extensionphysicalchromegoogle-chrome
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