Christopher Wang
I am a PhD candidate in mathematics at Cornell University. My primary research interests are randomized numerical linear algebra and operator learning. My advisor is Alex Townsend. Before Cornell, I was an undergraduate at Columbia University, where I worked with Ioannis Karatzas on bandit problems. I am supported by the NSF GRFP.
I subscribe to the commitments of the Just Mathematics Collective.
- CV
- email: cyw33 at cornell dot edu
- research
- Operator learning for hyperbolic partial differential equations (with A. Townsend), J. Mach. Learn. Res., to appear, 2025. [arXiv]
- Extensions of true skewness for unimodal distributions (with Y. Kovchegov, A. Negrón, C. Pertel), Math. Methods Stat. 33(3), 239-258, 2024. [arXiv] [journal]
- Independence and conditional independence in discrete-time dynamic allocation problems, submitted, 2023. [arXiv]
- teaching
- MATH 2310: Linear Algebra for Data Science, Cornell, Fall 2025 (TA)
- MATH 4061: Intro to Modern Analysis I, Columbia, Spring 2022 (TA)
- MATH 1011: Calculus I, Columbia, Fall 2021 (TA)
- service
- I am an outreach co-chair for Cornell AWM and helped organize the 2023, 2024, and 2025 Cornell Julia Robinson Math Festivals
- In 2022, I mentored research projects on data-driven recovery of Green's functions as part of the Cornell Summer REU
- I volunteer occasionally with the Cornell Little Math Circle and with the directed reading program
- links
- Todos Cuentan by Federico Ardila, on representative mathematics pedagogy
- Spectra, association for queer mathematicians
- A/I, autonomous tech & digitial rights collective
- miscellaneous