Research

Whitney problems

My dissertation research is on Whitney-type extension and selection problems and their connection to machine learning and non-parametric statistics. At the basic level, Whitney's problems ask for efficient and universal ways to fit a function to random data while minimizing energy. Here is an expository article by Charles Fefferman for an overview of Whitney's problems. I am particularly interested in how nonlinear constraints, such as positivity or convexity, preserve or alter the structure of these problems. 

Time-frequency analysis

I am also working on symmetric decompositions of nuclear operators. This stems from a problem posed by H. Feichtinger (and subsequently by C. Heil and D. Larson) which asks whether a positive-definite integral operator with M1 (Feichtinger algebra) kernel admits a rank-one decomposition series that is also strongly square-summable in M1. 

 Papers

Talks

Loo-Keng Hua Lecture, Chinese Academy of Sciences, July 6-7, 2024, Beijing, China. 

Mathematics of Adversarial, Interpretable, and Explainable AI, Mathematics Research Communities (MRC) conference, June 23-29, 2024. Buffalo, NY

AMS Spring Southern Sectional Meeting, Special Session on Bases and Frames in Hilbert Spaces III, March 24, 2024, Florida State University

Research Interaction Team (RIT) on Applied Harmonic Analysis, February 19-26, 2024, University of Maryland

The 15th Whitney Workshop, August 14-25, 2023. UC Davis (Online).

Conference for early-career mathematical researchers, June 18-20, 2023, Shenzhen University.

CUNY GC Harmonic Analysis and PDE Seminar, March 10, 2023. CUNY Graduate Center. 

ICERM semester seminar, October 14, 2022. ICERM at Brown University.

Fall Fourier Talks 2022, Oct 6-7, 2022. Norbert Wiener Center at the University of Maryland (poster).

Harmonic analysis methods in geometric tomography, Sep. 26-30, 2022. ICERM at Brown University.

14th Whitney Workshop, May 20 - November 11, 2021. Thursdays 7:30 AM PST. UC Davis (Online).

Bay Graduate Math Conference, May 11, 2019, University of California, Berkeley.