Summary
Wenjing Lin is a research-focused biostatistician and bioinformatics practitioner with 8 years of experience applying statistical and computational methods to genomic, transcriptomic, and proteomic datasets. As a Research Assistant at Washington University School of Medicine, she processes RNA-Seq, performs GWAS and meta-analyses, and analyzes high-throughput proteomics from Alzheimer's cohorts to uncover biomarker pathways. Currently pursuing a Master’s in Biostatistics at WUSTL after a mathematics degree from UC Irvine, she blends rigorous quantitative training with hands-on R programming and data visualization. Her earlier work at the Institute of Automation, CAS, introduced a novel reclustering approach to study anxiety phenotypes, reflecting a knack for creative algorithmic solutions in applied settings. Based in San Jose, she contributes to interdisciplinary teams and publications, focused on translating complex biological data into actionable insights.
8 years of coding experience
Master's degree, Biostatistics, A, Master's degree, Biostatistics, A at Washington University in St. Louis
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of California, Irvine