Dzung Phan is a Research Staff Member at IBM T.J. Watson Research Center, where they focus on optimization theory, machine learning, and operations research. With a foundational role as a Postdoctoral Researcher at IBM from 2010 to 2011, Dzung has cultivated expertise in areas such as nonconvex sparse learning and stochastic optimization. They have authored over 50 technical papers and filed around 50 U.S. patents in their field. Dzung's academic background includes a Bachelor's Degree in Mathematics from Vietnam National University, Hanoi, and they are pursuing a Master's Degree in Computational Engineering at the National University of Singapore.
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