Jason is a hardware savvy software engineer with expertise in signal processing, statistical learning, system design, and end-to-end product development. He's experienced with a wide range of projects, from quick proof-of-concepts to million-unit-per-year programs; from stand-alone devices to a single node in a sprawling device ecosystem. He's always keen for a knotty technical challenge (he's been overheard saying he "gets to solve puzzles for a living"), but his real strength is creating robust, secure, and testable designs from high-level functional descriptions and user stories.
Jason got his start in computational neuroscience, first at Emory University as a Robert W. Woodruff Scholar, then at the University of Washington as a NSF Graduate Research Fellow and ARCS Fellow. His research bridged theoretical neuroscience and experimental physiology, and over the years touched on subjects related to Parkinson's disease, epilepsy, sound localization, visual adaptation, and language acquisition. Use caution when discussing the brain around Jason - he's still very passionate about the subject and may reflexively nerd out on you.
In 2010, Jason took a leave of absence from his PhD to work at a startup developing athletic mouthguards that measure the severity of head impacts. Part basic science, part engineering, and with the potential to greatly advance the field of concussion research, the opportunity was too good to pass up. When that startup faltered in 2012, Jason found an opportunity at Synapse, and the rest, as they say, is history.