Scientific Systems
Clark Dorman is a Principal Engineer at Scientific Systems, specializing in Machine Learning and Artificial Intelligence for autonomous systems, with a focus on theory of mind models, Bayesian inference, and mission planning applications. Previous roles include Principal Faculty Specialist at the UMD Applied Research Laboratory for Intelligence and Security, where work centered on AI and ML for defense, and Chief Engineer at CACI International Inc, managing machine learning projects and leading multiple DARPA programs. Clark has held leadership positions at Next Century Corporation and Aether Systems, with a solid foundation in software engineering and development. Educational qualifications include a PhD ABD in Cognitive and Neural Systems from Boston University, an M.S. in Applied Mathematics from The George Washington University, and a degree in Aerospace Engineering from the Massachusetts Institute of Technology.
This person is not in any offices
Scientific Systems
Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.