Ph.D. Candidate
Applied and Computational Math
Office: Annenberg 
Email: yifanc@caltech.edu 
Language: English, Mandarin, Sichuanese (native) 
Programming: MATLAB, LaTeX, Python, Julia 
I am a third year graduate student at Caltech, where I am fortunate to be advised by Prof. Thomas Y. Hou and coadvised by Prof. Andrew M. Stuart and Houman Owhadi.
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.
Check out my Research Page, and Google Scholar & ResearchGate to know more.
Education

Ph.D. in Applied and Computational Mathematics, 2018present
Department of Computational and Mathematical Sciences, Caltech
B.S. in Pure and Applied Mathematics, 20142018
Department of Mathematical Sciences, Tsinghua University
News
 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 prerecorded) in the session of Kernel Methods at the Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto, Sept. 2125, 2020 (For the prerecorded version see this YouTube Channel).
 I gave a prerecorded talk about "Consistency of Hiearchical Parameter Learning" at the BernoulliIMS One World Symposium 2020. Check this Youtube Channel. (Aug 2020)