Alexander Cloninger

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Department of Mathematics,
Halıcıoğlu Data Science Institute
University of California at San Diego
Office: AP&M 5747
Email: acloninger (at) ucsd (dot) edu


Alex Cloninger is an Associate Professor in Mathematics and the Halıcıoğlu Data Science Institute at UC San Diego. He received his PhD in Applied Mathematics and Scientific Computation from the University of Maryland in 2014, and was then an NSF Postdoc and Gibbs Assistant Professor of Mathematics at Yale University until 2017, when he joined UCSD.

Alex researches problems in the area of geometric data analysis and applied harmonic analysis. He focuses 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.

Current Speaking / Organizing Activities

  • Call for Papers Open: I am organizing a workshop on Topology, Analysis, and Geometry in Machine Learning at ICML 2022, along with Tim Doster, Tegan Emerson, Henry Kvinge, and Sarah Tymochko. You can find more information here.

  • Call for Papers Open: I'm guest editing a special issue of La Matematica on Topology, Algebra, and Geometry in the Data Sciences, along with Tim Doster, Tegan Emerson, Emily King, Henry Kvinge, and Rachel Neville. You can find more information here.

  • I am organizing a workshop on Geometrical and Topological Representation Learning at ICLR 2022, along with Manohar Kaul, Ira Ktena, Nina Miolane, Bastian Rieck, and Guy Wolf. You can find more information here.


My research interests include

  • Applied Harmonic Analysis

  • Manifold Learning

  • Approximation Theory for Deep Learning

  • Statistical Distances and Optimal Transport

  • Analysis on Graphs

  • Medical and Remote Sensing Applications

Find out more.


Current courses:

  • Spring 2022: none

Link to all courses taught


Full list of publications.
Google Scholar

Research Group, Colleagues, and Friends

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Dinner, 10-29-2019