Summary
Qingxiang Guo is a postdoctoral research fellow at Northwestern University's Feinberg School of Medicine specializing in cancer genomics where he combines long-read sequencing, multi-omics and machine learning to probe treatment resistance and non-coding regulatory mechanisms. With a PhD in bioinformatics and nine years of research experience, he has developed novel sequencing methodologies and computational pipelines—previously proposing a "mosaic evolution" model in parasitic cnidarians and building the CCPRD proteomics pipeline for non-model organisms. He authors 21 peer-reviewed papers, reviews for journals like Cancers, and is skilled in Python/R/Bash, structural variant detection, single-cell genomics, and Nanopore sequencing. Ambitious and multidisciplinary, he aims to establish an independent program that translates complex biological data into clinically actionable precision-medicine insights.
9 years of coding experience
Doctor of Philosophy - PhD, Aquatic animal medicine, Bioinfomatics, Doctor of Philosophy - PhD, Aquatic animal medicine, Bioinfomatics at 华中农业大学
Scholar internship, Department of Microbiology, Scholar internship, Department of Microbiology at Oregon State University