John Gideon is a doctoral candidate in Computer Science and Engineering at the University of Michigan. He received his B.S in Electrical Engineering (Magna Cum Laude) and M.S. in Computer Engineering from the University of Cincinnati in 2012 and 2013, respectively. His undergraduate and Master's had a strong emphasis on signal processing, embedded systems, and parallel processing. He has also had professional experience working for Toyota Research Institue (TRI), General Electric Aviation, and the University of Cincinnati Simulation Center contracting with Proctor and Gamble.
John is currently a Graduate Student Researcher working with Professor Emily Mower Provost in the Computational Human-Centered Analysis and Integration (CHAI) Lab. His current research as part of the PRIORI project, aims to use mobile phone calls from individuals with bipolar disorder to determine when they are symptomatic. In particular, he is interested in discovering methods of improving emotion and mood classification by reducing the effect of other acoustic factors. Some of these include device characteristics, dataset differences, and subject demographics. Techniques used include deep learning, clinician directed feature creation, and audio signal processing. His research goals are aimed at the improvement of medical care and everday tasks with assisstive technologies. In his free time, John enjoys the outdoors (seen above at Glacier National Park), board games, singing, and travel.