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Boris Landa

I am an Assistant Professor in the Department of Electrical and Computer Engineering at Yale University. I'm also a member of the Applied Math Program at Yale. My research lies at the intersection of statistical signal processing and geometric data analysis, focusing on developing theoretical and computational tools for processing and analyzing data. I am particularly interested in challenges related to extracting low-dimensional structures from complex high-dimensional data under noise and deformations commonly encountered in real-world applications.

If you are a prospective graduate student or postdoc interested in working with me, please reach out and describe your interests and background.

Selected preprints and publications

Boris Landa, Yuval Kluger, Rong Ma. "Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets". arXiv.
Boris Landa and Yuval Kluger. "The Dyson Equalizer: Adaptive Noise Stabilization for Low-Rank Signal Detection and Recovery". Information and Inference: A Journal of the IMA, 14(1), p.iaae036. arXiv. DOI.
Boris Landa and Xiuyuan Cheng. "Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling". SIAM Journal on Mathematics of Data Science (2023). arXiv. DOI.
Boris Landa, Thomas T.C.K. Zhang, Yuval Kluger. "Biwhitening Reveals the Rank of a Count Matrix". SIAM Journal on Mathematics of Data Science 4, no. 4 (2022): 1420-1446. arXiv. DOI.
Boris Landa, Ronald R.Coifman, Yuval Kluger. "Doubly Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise". SIAM Journal on Mathematics of Data Science 3 (1), 388-413 (2021). DOI. arXiv.
Boris Landa and Yoel Shkolnisky. "Multi-reference factor analysis: low-rank covariance estimation under unknown translations". Information and Inference: A Journal of the IMA 10, no. 3 (2021): 773-812. DOI. arXiv.
Boris Landa and Yoel Shkolnisky. "The Steerable Graph Laplacian and its Application to Filtering Image Datasets." SIAM Journal on Imaging Sciences, 11(4):2254--2304, 2018. DOI. arXiv.

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