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Iran R Roman

Center for Computer Research in Music and Acoustics
dynamical systems, motor system, synchronization

International student originally from Uriangato, Mexico. Using bifurcation theory, Iran aims at explaining the mechanisms of behavioral and neural activity during synchronized motor action. He has previously worked in industry, developing AI algorithms for Apple and Plantronics. In 2019 he received a Human-Centered AI grant. Iran wants to pursue a research career in Theoretical Neuroscience.