Zheng Yin

My research program is dedicated to the development of advanced biostatistical algorithms and artificial intelligence methodologies designed to integrate multi-scale, multi-omics data with imaging and clinical readouts. I specialize in the analysis of high-dimensional datasets at the bulk, single-cell, and spatial scales, with a particular emphasis on systems pharmacology modeling to delineate disease mechanisms and drug effects. My interdisciplinary background allows me to bridge the gap between computational science and diverse biological fields, including neurodegeneration, immunology, and metabolic health.

Recently, I have led significant bioinformatics initiatives to decode complex cellular programs. This includes establishing metabolic switches in CD4+ T cell immunity and utilizing single-cell RNA sequencing paired with in silico metabolic flux modeling to delineate how novel therapeutics reshape the immune microenvironment. In the field of translational neurobiology, I have developed original data integration and visualization pipelines to evaluate drug repositioning strategies for neurodegenerative disorders. Notably, my work has defined the proteomic effects of ROCK inhibitors within Alzheimer’s disease mouse models, providing a molecular map of therapeutic response in the brain.

In summary, I possess the technical expertise to integrate and model large-scale transcriptomic, proteomic, metabolic, and multi-modality imaging datasets. As a Co-Investigator in the Biomarkers Core for the HADRC, I will lead the biostatistical and bioinformatics tasks necessary to process and interpret the core’s complex data streams. My focus will be on applying systems-level modeling to drug and biomarker profiles, ensuring that the proposed research activities are supported by rigorous computational frameworks and actionable biological insights.