Decoding Biological Mechanisms Through Cohort Multi-Omics
Our work aims to understand clinical manifestation and biological mechanism of interesting human processes discovered through cohort study
About Us
Xin Zhou (周欣), Ph.D., is a Principal Investigator at the Intelligent Medicine Institute, Fudan University. He also holds a joint appointment as Professor at the Hong Kong PolyU–Stanford Joint Research Center. He completed his Ph.D. training with Dr. George Weinstock in 2019 and his postdoctoral training with Dr. Michael Snyder in 2024. Xin brings extensive experience in multiple biological disciplines, focusing on the intricate relationships between the microbiome and human health.
Research Interests
Longitudinal Host Microbiome Interaction in Multiple Sites
“We found that when you get sick with something like a cold, you have this temporary change in the microbiome; it becomes very dysregulated. With diabetes, that signature is the same in many ways except that it is long-term rather than temporary.”
Precision Microbial Intervention
We develop innovative solutions for metabolic and inflammatory diseases through precision microbial interventions. We leverage two key advancements: an advanced machine learning methodology and the creation of a pioneering immune organoid. As part of the integrated Human Microbiome Project (iHMP), we’ve developed a specialized machine learning algorithm tailored to our unique multi-omics dataset, focusing on individuals with prediabetes and type 2 diabetes. This algorithm integrates various powerful techniques, such as Bayesian inference, Recursive Partitioning and Regression trees, and longitudinal causal inference. This approach has driven significant scientific and clinical progress over the past decade. In parallel, we’ve created a unique immune organoid using tonsil tissues to model immune-bacterial interactions. This organoid replicates essential immune functions, providing a valuable tool for studying specific immune responses to bacterial strains.
Single Cell Transcriptomics
Our team leverages advanced single-cell transcriptomics to decode the molecular intricacies of various chronic and inflammatory diseases. By examining individual cells with unparalleled precision, we uncover critical insights that drive our research forward. We focus on inflammatory conditions such as Pulmonary Arterial Hypertension (PAH) and Post-Treatment Lyme Disease (PTLD). Our transcriptomics studies reveal unique genetic and cellular profiles, shedding light on the underlying mechanisms of these diseases.
