Simon is interested in building a flexible and fast platform for AI research. At FAIR, he works on supporting PyTorch, and enhancing it with new features and functionalities. Before joining FAIR, Simon studied computer science and statistics at UC Berkeley. During his undergraduate years at Berkeley, Simon conducted several internships at Facebook Seattle, Airbnb, and a start-up company. Simon's research interests include understanding deep learning, discovering & utilizing structures in data, and combining the powers of deep learning with probabilistic models. Outside of work, Simon has been working with Professors Stuart Russell, Ren Ng, and Alexei Efros on research projects in machine learning and computer vision.
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