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David Harwath is an Assistant Professor in the Department of Computer Science at the University of Texas at Austin. His research focuses on automatic speech recognition, spoken language understanding, and multi-modal machine learning. David's work aims to develop robust and flexible models that can learn on the fly across multiple input modalities. He holds a B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign, and both a Master’s and Ph.D. in Computer Science from the Massachusetts Institute of Technology. His doctoral thesis was recognized with the George M. Sprowls Award in 2018, highlighting his contributions to the field of computer science. David Harwath is dedicated to improving the interaction between humans and machines through more advanced recognition systems that integrate various forms of input such as speech, environmental sounds, and visual information.
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