Aaron Solomon

Aaron is an expert in the application of machine learning to the life sciences. He has worked on deep graph learning for spatio-temporal data at the University of Cambridge, probabilistic tissue deconvolution via RNA sequencing at the Alan Turing Institute, and breast cancer therapeutic targeting at UPenn. He has also worked on missions to explore infectious disease risk onboard the International Space Station and led software development teams for federal anti-terrorism efforts. He received graduate degrees in machine learning and genomic medicine from the University of Cambridge and Imperial College London as a Marshall Scholar.