Huiguang Yi is a bioinformatics postdoc at the Perelman School of Medicine with eight years of hands-on experience in computational biology, specializing in comparative genomics, epigenomics, and regulatory annotation of the non-coding genome. He combines deep statistical learning and next-generation sequencing expertise (RNA-seq, eQTL) with strong programming skills in Linux/Perl, C, and R to link evolutionary signatures and chromatin states to gene regulation and disease-associated variants. His work focuses on kidney biology, using cross-species analyses to reveal conserved regulatory circuitry and reinterpret uncharacterized variants in chronic kidney disease. Trained with a PhD from Fudan and earlier degrees in microbiology/genetics and clinical medicine, he brings both wet-lab context and computational rigor to mechanistic genomics. An intellectually curious scientist, he treats bioinformatics as a true scientific discipline rather than merely a toolkit and actively builds a research program that trains new students in the lab.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Fudan University
Master’s Degree, Microbiology,genetics, genomics, Master’s Degree, Microbiology,genetics, genomics at Wenzhou Medical College
Bachelor’s Degree, Clinical Medicine, Bachelor’s Degree, Clinical Medicine at Wenzhou Medical University
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