Ph.D. Candidate
Applied and Computational Math
Office: Annenberg 
Email: yifanc@caltech.edu 
Language: English, Mandarin, Sichuanese 
Programming: Julia, Python, MATLAB, LaTeX 
I am currently a fifth year grad student at Caltech, where I am advised by Profs. Thomas Y. Hou, Houman Owhadi and Andrew M. Stuart.
Academically, I am interested in intellectual mathematical research synergizing computation and inference. My current work is centered around probabilistic inference, numerical algorithms, and multiscale methods for scientific computing and machine learning in physics and data science.
I am very grateful to be supported by the Kortschak Scholars Program.
Check out my Research Page, and Google Scholar & ResearchGate to know more.
Education

Ph.D. in Applied and Computational Mathematics, 20182023(expected)
Department of Computational and Mathematical Sciences, Caltech
B.S. in Pure and Applied Mathematics, 20142018
Department of Mathematical Sciences, Tsinghua University
News
 I am coorganizing the minisymposium Recent Advances in Kernel Methods for Computing and Learning in SIAM Mathematics of Data Science, San Diego, Sep 2630, 2022.
 I gave a talk at SOCAMS in May 21, 2022. [Slide]
 I did my candidacy talk. [Slide]
 I gave a talk at the Rough Path Interest Group in April 28, 2022. [Slide]
 Gave a talk in SIAM Uncertainty Quantification (UQ22) Minisymposium of New Developments in Gaussian Processes, Atlanta, April 1215, 2022. [Slide]
 I gave a talk in the CMX student seminar on "Multiscale Computation and Parameter Learning for Kernels from PDEs: Two Provable Examples", Nov 2020. [Slide]
 I gave a talk in the session of Kernel Methods at the Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Sep 2125, 2020. See this YouTube Channel. [Slide]
 I gave a talk on "Consistency of Hiearchical Parameter Learning" at the BernoulliIMS One World Symposium, Aug 2020. Check this YouTube Channel. [Slide]