Jing Wang is a Visiting Researcher and PhD-trained bioinformatician with a decade of experience applying statistics, omics and computational methods to microbial systems and host–microbiome interactions. She developed a novel algorithm to reduce errors in amplicon sequencing and discovered microbial biomarkers linked to gut dysbiosis and liver damage in chronic hepatitis B, combining wet-lab awareness with reproducible, automated pipelines. At the University of Rhode Island she models microbial evolution and metabolism, contributes to PSAMM for metabolic model analysis, and mentors undergraduates. Comfortable translating biologists’ needs into production-ready code, she leverages seven years of close collaboration with experimentalists to identify and correct data biases that often go unnoticed.
10 years of coding experience
Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology at Shanghai Jiao Tong University
Contributions:42 pushes, 1 branch in 1 year 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jing Wang - Visiting Researcher at University of Rhode Island