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De Wen Soh received a Bachelor of Science degree in Mathematics from Stanford University and a Ph.D. degree in Electrical Engineering from Yale University, under the supervision of Sekhar Tatikonda. His research primarily focuses on high-dimensional graphical model learning. In 2016, he joined the Institute of High Performance Computing, where he conducted machine learning research applied to social psychological sciences, in addition to working on various industry projects related to the consumer transport sectors. His research interests encompass graphical model estimation, graph signal processing, network analytics, federated learning, transport modeling, and high-dimensional statistical theory in the context of artificial intelligence. He has published several notable papers in well-regarded conferences and journals, contributing to advancements in these fields.
This applies to PhD programs in Architecture and Sustainable Design (ASD), Engineering Product Development (EPD), Engineering Systems and Design (ESD), Information Systems Technology and Design (ISTD), Science, Mathematics and Technology (SMT), and Humanities, Arts and Social Sciences (HASS).