Summary
Liuyang Wang is an Associate Professor and computational biologist with 11 years of experience specializing in bioinformatics, population genomics, and infectious disease research. Based at Duke University, he develops and applies statistical, machine learning, and high-throughput sequencing pipelines—including RNA-seq, single-cell, ChIP-seq and meta-GWAS tools such as CPAG/iCPAGdb—to translate omics data into biological insight. He combines deep expertise in population genetics and statistical inference with production-grade programming (Python, R, C/C++, Perl, MATLAB) and HPC/cluster environments (SGE, SLURM, Unix). His work spans human host–pathogen interaction, biomarker discovery, and evolutionary genomics, and he serves as an associate editor for Evolutionary Bioinformatics. Outside the lab he emphasizes reproducible, open-tool development and balances research with family life as a husband and father in Durham, NC.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Molecular Genetics and Ecology, Doctor of Philosophy (Ph.D.), Molecular Genetics and Ecology at Chinese Academy of Sciences
English, Chinese