Summary
Guangrong Qin is a Senior Research Scientist in Seattle with eight years of experience applying machine learning, statistics, and knowledge graphs to drug target discovery and drug response prediction. At the Institute for Systems Biology he leads multi-omics integration efforts across genomics, transcriptomics, proteomics and functional screens, and explores digital twins and LLMs to translate complex data into actionable patient insights. Trained in bioinformatics and drug design (Ph.D.), he blends computational rigor with practical pharmacogenetics to advance predictive models for drug sensitivity. Known for turning heterogeneous omics and screening data into interpretable models, he focuses on building tools and algorithms that bridge discovery and translational impact. He combines deep domain expertise with a track record of deploying statistical and ML solutions in real-world drug discovery workflows.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Bioinformatics, Bachelor’s Degree, Bioinformatics at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.), Drug Design, Doctor of Philosophy (Ph.D.), Drug Design at Shanghai Institute of Materia Medica, University of Chinese Academy of Sciences
English, Chinese