Summary
Ruibin Xi is a research associate at Harvard Medical School with 12 years of experience applying rigorous mathematical and statistical training to bioinformatics problems, particularly next-generation sequencing. He develops tools for copy number and structural variation analysis, chromatin organization, RNA-seq and ChIP-seq workflows, bringing deep expertise in massive-data methods, variable selection, MCMC, survival and longitudinal analysis. Trained as a mathematician (PhD, Washington University in St. Louis) and experienced across C, R, SAS, Perl, Matlab and Mathematica, he bridges theory and applied genomics to turn complex sequencing datasets into actionable insights. Based in Boston, he has a history of teaching and research roles dating back to Peking University and is known for enjoying “playing with mathematics,” which fuels creative methodological advances in his bioinformatics work.
11 years of coding experience
2 years of employment as a software developer
Master, Master at Peking University
PhD Mathematics, PhD Mathematics at Washington University in St. Louis