Dr. Larsson Omberg oversees a research agenda that focuses on two areas – using remote sensors and mobile phones to measure disease; and collaborative genomic research. Currently his group focuses heavily on open and team-based science to get a large number of external partners to collaborate on data intensive problems. This includes establishing norms and methods for measuring disease phenotypes using remote sensors and developing analytical approaches for turning raw signals from sensors into digital biomarkers. Dr. Omberg and the Systems Biology group have been involved in over two dozen mobile health studies ranging from chronic anemia to Parkinson's disease.  As a graduate student and postdoctoral researcher at the University of Texas and Cornell University, Dr. Omberg developed machine learning and statistical approaches for extracting genomic phenotypes and disease signals from system level biological data. After establishing a data science group at Sage Bionetworks, he applied his expertise to coordinating data integration and integrative analysis across dozens of consortia. Dr. Omberg received a Ph.D. in physics from the University of Texas at Austin.