Summary
Jiefei Wang is an Assistant Professor and biostatistician with a decade of experience building scalable bioinformatics software and statistical methods, particularly for large-scale testing on tree-structured hypotheses and microarray analysis. Trained with a PhD from the University at Buffalo, Jiefei has blended academic research with hands-on engineering on the Bioconductor core team, contributing R and C++ packages and designing high-performance computing workflows across GPU, parallel, and cloud environments. At Roswell Park and UTMB he has deployed R parallel clusters on Kubernetes, automated weekly Bioconductor binaries, and consulted on complex MRI and orthopedics studies, demonstrating an uncommon mix of statistical rigor and production-grade software design. A self-described programming enthusiast fluent in R and C++ (with Python, Java, and SQL skills), he prides himself on being one of the strongest programmers among statisticians, translating novel methods into robust, scalable tools used by research teams.
11 years of coding experience
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University at Buffalo
Bachelor's, Mathematics and Applied Mathematics, Bachelor's, Mathematics and Applied Mathematics at Shenzhen University