Sackler and Cambridge Foundation Research Fellow 2010 -2012

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John P. Cunningham studies machine learning and its application to neural systems.  Specifically, he designs machine learning, optimization, and signal processing algorithms for analysis of neural data, primarily in the motor cortex.   The purpose of these algorithms is two-fold: first, to advance scientific understanding of the neural basis of movement; second, to engineer neural prosthetic systems (also called brain-machine interfaces), which seek to improve the lives of severely disabled humans by interpreting control signals directly from the brain.   He is particularly interested in nonparametric Bayesian algorithms, approximate inference, and fast computational methods.  He received a B.A. in Computer Science from Dartmouth College (USA), and a M.S. and Ph.D. in Electrical Engineering from Stanford University (USA).  In Cambridge he is a Research Associate in the Department of Engineering with the Computational and Biological Learning Laboratory.

John was appointed Assistant Professor at Washington University in St Louis: http://engineering.wustl.edu/facultybio.aspx?faculty=571 in 2012.