Computational spatial biology, multiplex imaging, and quantitative tissue modeling.

I am a postdoctoral scholar at the University of Chicago specializing in spatial omics and high-dimensional multiplex imaging data. My work focuses on quantitative modeling of tissue architecture, cell neighborhoods, and immune microenvironment organization.

I build scalable analysis pipelines for cell segmentation, phenotyping, spatial network modeling, and inflammation trajectory analysis to uncover spatial biomarkers and disease-associated tissue states.

I am particularly interested in translating spatial data into mechanistic insights and therapeutic hypotheses in immunology and inflammatory disease. My Ph.D. research leveraged large noisy real-world datasets to develop predictive models using statistical analysis, machine learning, and deep learning methods.