Summary
Jingling Li is a Senior Research Scientist with nine years of experience bridging foundational ML research and real-world systems, currently working on reasoning for open-ended tasks at Google DeepMind while also holding a research role at ByteDance. She earned a PhD-level research trajectory through internships and collaborations with leading groups (MSR, DeepMind, Vector Institute) and advisors such as Petar Veličković and Jimmy Ba, demonstrating depth in causal learning, RL, and graph-based reasoning. Jingling’s background spans industry research and applied engineering—from JPMorgan AI Research to Facebook Ads systems—giving her a rare mix of theoretical rigor and production-minded implementation. Her academic work began with strong quantitative roots (Bryn Mawr, University of Maryland, study abroad in Budapest) and early bioinformatics and astronomy projects, reflecting a penchant for cross-domain problem solving. Known for steady, disciplined contribution (her GitHub motto 流水不腐,户枢不蠹 hints at continuous practice), she excels at turning complex research questions into practical, testable systems.
10 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at Haverford College
Mathematics and Computer Science, Mathematics and Computer Science at AIT-Budapest
Bachelor of Arts (B.A.), Mathematics and Computer Science, Bachelor of Arts (B.A.), Mathematics and Computer Science at Bryn Mawr College
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
Mathematics, Mathematics at Budapest Semesters in Mathematics
Shenzhen Middle School
Computer and information science, Computer and information science at University of Pennsylvania
English, Chinese, Chinese