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Mihai Cucuringu is a Professor in the Department of Mathematics at the University of California, Los Angeles, and an Associate Member at the University of Oxford. He holds a Ph.D. in Applied Computational Mathematics from Princeton University, where his research focused on low-rank matrix completion and its applications in various fields, including sensor network localization and molecular structure. His academic career includes positions such as Assistant Adjunct Professor at UCLA and Turing Fellow at the University of Oxford. His research interests lie at the intersection of mathematics, statistics, and machine learning, specifically in developing algorithms for data science and network analysis. He has actively contributed to the field of finance through his work on forecasting financial volatility, analyzing market dynamics, and leveraging machine learning for asset management. Throughout his career, Mihai has organized various workshops in his field and has a series of notable publications in prestigious conferences and journals.
University of California, Los Angeles • Los Angeles, CA
Leading research and teaching in mathematics.
Department of Statistics, University of Oxford • Oxford, UK
Affiliated with the Mathematical Institute.
Department of Mathematics, UCLA • Los Angeles, CA
Involved in teaching and research in applied mathematics.
Simons Institute for Theory of Computing, UC Berkeley • Berkeley, CA
Participated in research on algorithmic spectral graph theory.
Department of Economics admits primarily for the PhD program.