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Giang Tran is an Associate Professor in the Department of Applied Mathematics at the University of Waterloo. He completed his Ph.D. at the University of California, Los Angeles in 2015 under the supervision of Professor Stanley Osher. His research interests lie in sparse modeling, sparse optimization methods, data science, image processing, medical imaging, and compressed sensing. Prior to his current role, he served as an Instructor at the University of Texas at Austin from 2015 to 2017, where he contributed to various academic initiatives and enhanced his expertise in applied mathematics. With a robust academic background and a commitment to advancing knowledge in applied mathematics, Giang is dedicated to addressing complex problems through innovative research methodologies.
University of Waterloo • Waterloo, ON, Canada
Teaching and research in the field of applied mathematics.
University of Texas at Austin • Austin, TX, USA
Instructed courses in applied mathematics and contributed to departmental research.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.