Yang Li is an Associate Professor at the University of Chicago who leads a multidisciplinary lab of eight trainees and technicians studying the genetics and molecular mechanisms of RNA splicing in human disease. With a DPhil from Oxford and a decade of research experience spanning postdoctoral work at Stanford to independent faculty roles, Yang combines computational, genetic, and molecular approaches to translate splicing biology into potential therapeutic strategies. Their work emphasizes high-throughput sequencing and integrative genomics to pinpoint pathogenic splicing variation, and the lab explicitly aims to target splicing as a treatment modality. Based in Chicago, Yang bridges rigorous computational training (BSc in math and computer science) with hands-on experimental biology, enabling rapid iteration from prediction to validation. An accomplished mentor and lab leader, they are known for integrating quantitative methods into classical molecular biology to tackle complex disease mechanisms.
10 years of coding experience
6 years of employment as a software developer
DPhil, Clinical Medicine (Computational Biology), DPhil, Clinical Medicine (Computational Biology) at University of Oxford
MPhil, Biological Sciences, MPhil, Biological Sciences at University of Liverpool
B.Sc., Math and Computer science, B.Sc., Math and Computer science at McGill University
Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard
Contributions:20 commits, 3 PRs, 31 pushes in 4 years 4 months
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