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.
9 years of coding experience