Research Vision
Decoding Biological Mechanisms Through Cohort Multi-Omics
We use cohort-based multi-omics to connect clinical phenotypes with the biological mechanisms that shape human health and disease—turning population-level discoveries into testable mechanistic insights.
About Me
Welcome—this is my personal website and an introduction to my laboratory and research. I am Xin Zhou (周欣), Ph.D., a tenure-track Principal Investigator at the Intelligent Medicine Institute, Fudan University, and Professor at the Hong Kong PolyU–Stanford Joint Research Center. My central interest is bringing artificial intelligence and medicine together to better understand human biology and improve health.
My journey began in Shanghai, where I completed my undergraduate studies at Fudan University. I moved from Shanghai to the United States in 2011, completed my Ph.D. training with Dr. George Weinstock in 2019, and pursued postdoctoral research with Dr. Michael Snyder through 2024. In 2025, I returned to Shanghai to establish my independent research program, connecting microbiome science, multi-omics, statistical modeling, human organoid systems, and AI-enabled digital twins.
I also enjoy translating scientific ideas into practical impact and have a strong interest in entrepreneurship. I am a graduate of the Stanford Ignite program, which deepened my perspective on innovation and building ideas that can make a difference. Outside the lab, when time allows, I enjoy photography—a different way of observing details, people, and the world around us.
Research Interests
AI-Enabled Digital Twins & Multi-Omics
We develop AI-enabled digital twins that integrate longitudinal microbiome, multi-omics, clinical, and physiological data. Beyond data analysis, these models simulate healthy and disease states, model transitions between them, test mechanistic hypotheses, and predict responses to interventions—supporting personalized prevention and treatment.
Human Immune Organoids from Spleen & Tonsil
We develop human immune organoids using spleen and tonsil—secondary lymphoid organs—to investigate how microbial strains and other biological perturbations shape immune responses. These human-derived systems enable mechanistic testing of candidate microbes and interventions in physiologically relevant settings.
Inflammation, PAH & Precision Medicine
We combine single-cell transcriptomics, immunomics, metabolomics, lipidomics, and microbiome profiling to define disease mechanisms in pulmonary arterial hypertension and other chronic inflammatory conditions. Current work examines host responses to HERV-K and oral-microbiome signals associated with systemic disease, with the goal of identifying actionable biomarkers and therapeutic pathways.
