Summary
Zhiguang Li is a Staff Scientist at the National Institute on Aging with over a decade of experience at the intersection of bioinformatics, statistics, and computational biology. He has a strong track record building efficient genomics pipelines, statistical models, and bespoke tools—saving sequencing costs, improving mutation and TMB detection, and scaling analysis for tens of thousands of patient samples. Comfortable across Python, R, C++, Linux systems, and cloud deployments, he combines deep domain knowledge in immunology and cancer biology with practical systems skills such as cluster administration and large-scale data reorganization. Previously he supported academic, government, and industry labs—from Johns Hopkins and FDA to biotech—translating complex omics data into actionable insights for clinicians and researchers. Based in Cockeysville, MD, he brings an unusually pragmatic blend of theoretical modeling (e.g., beta-binomial and kernel-density methods) and hands-on engineering that consistently turns statistical ideas into production-ready software.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Microbiology and Immunology | Computer Sciences, Bachelor of Science - BS, Microbiology and Immunology | Computer Sciences at Wuhan University
Doctor of Philosophy - PhD, Immunology and Cancer Biology | Data analyst, Doctor of Philosophy - PhD, Immunology and Cancer Biology | Data analyst at University of Chinese Academy of Sciences
Master of Science - MS, Microbiology and Immunology, Master of Science - MS, Microbiology and Immunology at Fudan University
English, Chinese