Summary
Yang Hu is a scientist and single-cell bioinformatics analyst with 9 years of research experience and 5+ years focused on single-cell sequencing for clinical trials and fundamental biology. He has driven single-cell analyses across oncology clinical trials and dozens of multi-omics projects at Weill Cornell Medicine, contributing to 10+ high-impact publications and mapping therapy-associated TCRs in clinical studies. Skilled in end-to-end pipeline development, he builds cloud-ready data ingestion, annotation, differential analysis workflows and a Shiny front end to make complex single-cell results accessible to collaborators. His background spans wet-lab assay development (dPCR, NGS, CAR-T testing) through a PhD in chemical and biological engineering and an M.S. in machine learning, enabling him to bridge experimental design and computational modeling. Notably, he has delivered production-ready single-cell solutions for both academic and commercial settings and independently identifies novel cell types and phenotype-specific subclusters in public datasets.
9 years of coding experience
4 years of employment as a software developer
Master of Computer Science, Machine Learning, Master of Computer Science, Machine Learning at Georgia Institute of Technology
Doctor of Philosophy - PhD, Chemical and Biological Engineering, GAP 3.89/4.00, Doctor of Philosophy - PhD, Chemical and Biological Engineering, GAP 3.89/4.00 at New York University - Polytechnic School of Engineering
Minor, English, Minor, English at East China University of Science and Technology
English, Chinese