Dr. Jared Dunnmon is a postdoctoral fellow in the Computer Science Department at Stanford advised by Profs. Chris Ré and Daniel Rubin.  His technical work -- recently featured in Radiology (2019), Nature Communications (2019), and AAAI (2019) --  focuses on combining heterogeneous data modalities, machine learning, and human domain expertise to improve decisionmaking processes in critical applications spanning human health, energy and environment, and national security.  Jared has previously worked to bridge the gap between technological development and effective deployment in a variety of contexts including foreign policy at the U.S. Senate Foreign Relations Committee, cybersecurity for nuclear systems at the Center for Strategic and International Studies, solar electrification at Offgrid Electric, emerging technology investment at Draper Fisher Jurvetson, nuclear fusion modeling at the Oxford Mathematical Institute, and nonlinear energy harvesting at Duke University.  He also remains an active contributor to the Hacking for Defense project.  Jared holds a PhD in Mechanical Engineering from Stanford University, a B.S.E. from Duke University in Mechanical Engineering and Economics, and both an MSc. in Mathematical Modeling and Scientific Computing and an M.B.A. from Oxford, where he studied as a Rhodes Scholar.