Dr. Picone teaches in the fields of mechatronics, including dynamical modeling, control systems, and robotics. His research includes the enhancement of magnetic resonance technologies, especially magnetic resonance force microscopy (MRFM), through hyperpolarization. Much of his previous work has been in nonlinear dynamical modeling of systems of magnetization. Additional research interests include augmented human intelligence through computing systems and the philosophy of engineering, with emphasis on the relation between humanity (individually and collectively) and technology. Dr. Picone received his PhD in mechanical engineering at the University of Washington in 2014.
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