معرفی
Jianguo (Jeff) Xia is a Full Professor at McGill University, specializing in molecular biology and systems biology. His research focuses on host-parasite-gut microbiota interactions, bioinformatics, metabolomics, metagenomics, and network biology. He actively develops next-generation bioinformatics tools to address big data challenges in life sciences, with an emphasis on applied statistics, machine learning algorithms, data visualization, and web-based technologies.
His recent publications highlight advancements in metabolomics and multi-omics integration. He has contributed to web-based platforms like MicrobiomeNet and ImpLiMet for microbial association analysis and data imputation. His work spans environmental health (e-waste exposure), disease modeling (type 1 diabetes, Parkinson’s), and toxicogenomics (EcoToxChip).
As a leader in computational biology, Xia’s research bridges gut health, microbiome dynamics, and exposome-scale investigations. He currently supervises graduate students and collaborates across disciplines to develop tools like OmicsNet and MetaboAnalyst for metabolomics and systems biology applications.
