Michael’s research in the lab focused on developing computational methods for refining organoid composition via automated cell type identification. He also was responsible for generating single-cell RNA-seq data on endometriosis patients, revealing key cell states and altered cell-cell communication events. He is currently a graduate student in computational biology at Weill Cornell/ MSKCC and a biotech entrepreneur, investor, and community builder.