I am a Chicago DFI Fellow and postdocotral associate at the University of Chicago. Previously, I was a postdoctoral fellow at the Broad Institute of MIT and Harvard. I completed my Ph.D. in Bioinformatics and Computational Biology at the University of Minnesota - Twin Cities.
My research focuses on using machine learning approaches for understanding host-microbiome interactions. I am developing machine learning tools to integrate omics data and electronic health records to shed light on the intricate links between the microbiome and disease. As part of my doctoral research, I developed and applied a machine learning-based framework to perform a comprehensive characterization of interactions between the gut microbiome and host gene expression in patients with colorectal cancer, inflammatory bowel disease, and irritable bowel syndrome.
PhD in Bioinformatics and Computational Biology, 2021
University of Minnesota
MS in Computer Science, 2016
Lehigh University
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