Research Program: Cancer Measurement Technology and Data Sciences
Strategic Theme: Computational Biology and Engineering
Michael Robben’s researchers explores the latest in single-cell and spatial-sequencing technologies to investigate immune cell interactions in the tumor microenvironment and autoimmune disease. His lab uses a combined molecular and computational approach to develop multi-omics analyses that use AI and deep learning to probe deep interactions at the single cell level. Through these tools, they can identify signaling and structural interactions that lead to solid tumor development and inflammatory immune disease. His ongoing projects include investigating the role of regulatory and cytotoxic T-cells in inflammatory diabetes, investigating transmissible tumors in canines and Tasmanian devils, and developing deep learning algorithms to combine sequencing and imaging data.
Robben received his Ph.D. in molecular biology from South Dakota State University in 2022.