Congratulations to Alex Cloninger on receiving a Simons Fellowship in Mathematics.  Alex 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.  His current research plans are to develop new algorithms grounded in geometric methods that are both computationally efficient and theoretically rigorous.