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Giang Tran is an Associate Professor in the Department of Applied Mathematics at the University of Waterloo. He obtained his PhD from the University of California, Los Angeles in 2015 under the supervision of Professor Stanley Osher. Prior to his current position, he was an Instructor at the University of Texas at Austin from 2015 to 2017. His research interests include sparse modeling, sparse optimization methods, data science, image processing, medical imaging, and compressed sensing. Tran's work has contributed significantly to these areas, aiming to further develop methodologies and applications that can enhance understanding and performance in complex data-driven environments.
University of Texas at Austin • Austin, TX, USA
Taught courses in applied mathematics and supervised student projects.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.