PhD student in Computing and Mathematical Sciences
California Institute of Technology
My paper on kernel methods for operator learning is now out in the Journal of Computational Physics. Read it here: https://authors.elsevier.com/a/1i2RS508HwOFl
I gave a talk on "Kernel methods are competitive for Operator Learning" at the 10th International Congress on Industrial and Applied Mathematics - August 22nd 2023 (slides).
I gave a talk on kernel methods for learnings SDEs at the SIAM conference on dynamical systems - May 18th 2023 (slides).
My new paper on kernel methods for operator learning is now available: https://arxiv.org/abs/2304.13202 - April 27th 2023.
I gave a talk on "Benchmarking Operator Learning with Simple and Interpretable Kernel Methods" at the Workshop on Establishing Benchmarks for Data-Driven Modeling of Physical System - April 6th 2023 (slides) .
I gave a talk in the DataSig Rough Path Interest Group on "Kernel methods are competitive for Operator Learning" - March 28th 2023
My paper on "One-shot learning of stochastic differential equations with data adapted kernels" was accepted in Physica D - November 2023.