Applied and Computational Math
English, Mandarin, Sichuanese (native)
MATLAB, LaTeX, Python, Julia
I come from a math background and on research side, I like to explore theoretical and computational math problems in interdisciplinary fields. I have been working on problems in multiscale computation and hierarchical learning. I am grateful to be one part of the Kortschak Scholars Program.
Ph.D. in Applied and Computational Mathematics, 2018-present
Department of Computational and Mathematical Sciences, Caltech
B.S. in Pure and Applied Mathematics, 2014-2018
Department of Mathematical Sciences, Tsinghua University
- I gave a talk in the CMX student seminar on "Multiscale Computation and Parameter Learning for Kernels from PDEs: Two Provable Examples"; see [Slide]. (Nov 2020)
- I gave talks (both live and pre-recorded) in the session of Kernel Methods at the Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto, Sept. 21-25, 2020 (For the pre-recorded version see this YouTube Channel).
- I gave a pre-recorded talk about "Consistency of Hiearchical Parameter Learning" at the Bernoulli-IMS One World Symposium 2020. Check this Youtube Channel. (Aug 2020)