Andrew joined the Innovation Center in February 2014 from the Mayo Clinic where he led multidiscplinary research projects in the fields of bioinformatics and clinical informatics. His recent work there involved developing new machine learning approaches to predict patient outcomes in liver transplantation surgery and to identify key mutations from cancer genome sequencing data. In his role at the Innovation Center, Andrew will support the team by developing data analysis tools and predictive models for both the linkAges and EMPOWER-H programs. Andrew earned his Ph.D. degree in Physics from the University of Wisconsin – Madison. After completing postdoctoral work in computational biology at the University of California – San Diego he worked as a researcher at The Scripps Research Institute and Oak Ridge National Laboratory.