Nan Wu

972-883-6711
PHY 1.906
ORCID

Ph.D - Mathematics
University of Toronto - 2018

B.Sc - Mathematics and Physics
University of Toronto - 2011

Massive data analysis, Manifold learning, Nonparametric statistics on manifold.

Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation 2022 - Journal Article

Strong uniform consistency with rates for kernel density estimators with general kernels on manifolds 2022 - Journal Article

Graph based Gaussian processes on restricted domains 2022 - Journal Article

Inferring manifolds from noisy data using Gaussian processes 2021 - Other

Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples 2021 - Journal Article

Data-driven efficient solvers for langevin dynamics on manifold in high dimensions 2020 - Other

An Upper Bound for the Smallest Area of a Minimal Surface in Manifolds of Dimension Four 2020 - Journal Article

Connecting dots – From local covariance to empirical intrinsic geometry and locally linear embedding 2019 - Journal Article

Assistant Professor
Department of Mathematical Sciences, UTD [2022–Present]

Assistant Research Professor
Department of Mathematics, Duke University [2018–2022]