Alexander Cloninger

Alex Cloninger is an Associate Professor in the Department of Mathematics and the Halıcıoğlu Data Science Institute at UC San Diego. He researches problems in the area of geometric data analysis and applied harmonic analysis, with a focus on approaches that model the data as being locally lower dimensional, including data concentrated near manifolds or subspaces. These types of problems arise in a number of scientific disciplines, including imaging, medicine, and artificial intelligence, and the techniques developed relate to a number of machine learning and statistical algorithms, including deep learning, network analysis, and measuring distances between probability distributions.  

Alex received his PhD in Applied Mathematics and Scientific Computation from the University of Maryland in 2014 (advisers: John Benedetto, Wojciech Czaja), and was then an NSF Postdoc and Gibbs Assistant Professor of Mathematics at Yale University (adviser: Raphy Coifman).  He joined UCSD in 2017.