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Alex Cloninger is a Professor at the Halıcıoğlu Data Science Institute at the University of California, San Diego. He received his PhD in Applied Mathematics with a focus on Scientific Computation from the University of Maryland in 2014. After completing his PhD, Cloninger held a National Science Foundation (NSF) Postdoctoral position before becoming an Assistant Professor of Mathematics at Yale University in 2017. He later joined UC San Diego. His research primarily addresses challenges in geometric data analysis and applied harmonic analysis, concentrating on methods that model data locally in lower dimensions, especially when datasets can be concentrated near certain manifolds or subspaces. Through his innovative approaches, Cloninger has contributed to various fields, including the development of machine learning algorithms, statistical methods, deep learning techniques, network analysis, and signal processing. His work has also extended to collaborative projects across diverse scientific disciplines, including imaging, medicine, and artificial intelligence.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).