Jiayi Li
Applied Scientist at Uber
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJiayi Li is an applied scientist and PhD researcher with 10 years of experience building multi-agent ML systems that blend deep learning, reinforcement learning, and game-theoretic incentive design to enforce hard system constraints. Based in San Francisco, Jiayi has driven research-to-product work at Amazon, Microsoft Research, and now Uber, improving state-of-the-art results in decentralized voltage control, congestion pricing, and energy price forecasting. She designs realistic simulation environments to learn distributed policies and has applied LLMs to recommender and RL settings, showing that language-model feedback can correlate with and help learn value functions. Her work uniquely bridges rigorous theoretical analysis (e.g., proving equilibrium conditions for pricing schemes) with scalable empirical evaluation in safety- and fairness-critical infrastructure.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Washington
Github Skills (45)
haxeflixel10
source-port10
zx-spectrum10
playback10
map-editor10
scripting9
svn9
forking9
filterlist9
tooling9
recording9
quake9
filter9
fltk9
renderer9
Programming languages (8)
Github contributions (5)
jackrjli/mame
May 2017 - Jan 2025
Contributions:3 releases, 38 pushes, 28 branches in 7 years 9 months
jackrjli/dsda-doom
Feb 2021 - Jan 2025
This is a fork of prboom+ with extra tooling for demo recording and playback, with a focus on speedrunning.
Contributions:49 pushes, 25 branches, 3 tags in 4 years
playbackrecordingspeedrunningtooling
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