Published multiple high-impact journal papers in venues such as SIAM Journal on Mathematics of Data Science, Information and Inference: A Journal of the IMA, and SIAM Journal on Imaging Sciences
Notable works include:
— 'Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets'
— 'The Dyson Equalizer: Adaptive Noise Stabilization for Low-Rank Signal Detection and Recovery'
— 'Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling'
— 'Biwhitening Reveals the Rank of a Count Matrix'
— 'Doubly Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise'
— 'Multi-reference factor analysis: low-rank covariance estimation under unknown translations'
— 'The Steerable Graph Laplacian and its Application to Filtering Image Datasets'
Background
Assistant Professor in the Department of Electrical and Computer Engineering at Yale University
Member of the Applied Math Program at Yale
Research lies at the intersection of statistical signal processing and geometric data analysis
Focuses on developing theoretical and computational tools for data processing and analysis
Particularly interested in extracting low-dimensional structures from complex high-dimensional data under noise and deformations in real-world applications