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Lijun Ding earned a Ph.D. in Operations Research from Cornell University in 2021. He specializes in continuous optimization, particularly focusing on semidefinite programming and its applications in optimization and statistics. Lijun teaches both undergraduate and graduate courses in optimization and data science. Prior to joining the University of California, San Diego, he served as an assistant professor in the Department of Industrial and Systems Engineering at Texas A&M University. He also worked as a post-doctoral scholar at the Institute of Foundations of Data Science, collaborating with the University of Wisconsin and the University of Washington from 2021 to 2023. His academic journey reflects a strong commitment to the field of optimization and education.
Department of Mathematics • La Jolla, CA
Teaching undergraduate and graduate courses in optimization and data science.
Department of Industrial and Systems Engineering, Texas A&M University •
Institute of Foundations of Data Science • University of Wisconsin and University of Washington
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).