Alexander Cloninger
Professor at UC San Diego
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Cloninger is a Professor of Mathematics and Data Science at UC San Diego with a PhD in Applied Mathematics and Scientific Computation from the University of Maryland and a background in physics. He studies geometric data analysis and applied harmonic analysis, developing methods that model data as locally low-dimensional—near manifolds or subspaces—to tackle problems in imaging, medicine, and AI. His work connects theoretical tools to practical algorithms in deep learning, network analysis, and distributional distances, bridging math and machine learning. After an NSF postdoc and Gibbs Assistant Professorship at Yale, he joined UCSD faculty in 2017 and progressed to full professor, reflecting a sustained record of research and teaching. Based in San Diego, he brings an uncommon blend of rigorous analysis and application-driven thinking, often translating abstract geometric ideas into tools usable by practitioners.
8 years of coding experience
11 years of employment as a software developer
The University of Maryland, College ParkBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Washington University in St. Louis
Github Skills (5)
statistics1
python1
machine-learning1
time-series1
geometry1
Programming languages (3)
Github contributions (5)
ACloninger/capstone-deloitte-travel-models
Sep 2021 - Nov 2021
Contributions:41 pushes, 1 branch in 2 months
ACloninger/two-sample-anisotropic
Sep 2017 - Oct 2017
Contributions:1 PR, 3 pushes, 1 branch in 20 days
statisticsmachine-learningtwo-sampleanisotropickernels
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