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2017 GTC San Jose

Miro Enev

Solution Architect, Deep Learning, NVIDIA

Speaker Bio

Miro Enev is driven by a passion for understanding how the human mind works. These days he is most excited about unlocking the potential of deep learning to solve the data-driven challenges faced by the clients he engages as a solution architect at NVIDIA. Miro has expertise in machine learning, software engineering, experimental design with smart sensors (IoT), computer security, and computational neuroscience. He studied cognitive science at UC Berkeley, Neuroscience at Yale and UCSD, and went on to a Ph.D. in machine learning and cybersecurity/IoT at the University of Washington.

Speaker Sessions