Research

I work on both foundational methodology-driven research and applied collaborative research.

My theoretical research has focused on Bayesian and Bayesian-like methods for high-dimensional and complex data. My applied work has mainly focused on health services research in collaboration with Emergency Medicine physicians at Mount Sinai Health System in NYC.

If you're interested in collaborating, please reach out. I am always in search of collaborators.

Publications

Published

N. Mohr, Y. Tang, D. Gaieski, D. Buckler, B. Carr, and A. Zebrowski (2025). In response. Critical Care Medicine. DOI: 10.1097/CCM.0000000000006783.

N. Mohr, Y. Tang, D. Gaieski, D. Buckler, B. Carr, and A. Zebrowski (2025). Geographic clusters in sepsis hospital mortality and the role of targeted regionalization. Critical Care Medicine, DOI: 10.1097/CCM.0000000000006678.

Y. Tang and R. Martin (2024). Empirical Bayes inference in sparse high-dimensional generalized linear models. Electronic Journal of Statistics, volume 18, number 2, pages 3212-3246

R. Martin and Y. Tang (2020). Empirical priors for prediction in sparse high-dimensional linear regression. Journal of Machine Learning Research, volume 21, number 144, pages 1-30

Submitted/In preparation

Variational empirical Bayes variable selection in high-dimensional logistic regression. arXiv:2502.10532.

Rényi alpha-divergence variational Bayes for spike-and-slab high-dimensional linear regression. (Joint work with Chadi Bsila, Kaiwen Wang, and Laurie Heyer).

Hyperparameter selection for empirical priors in high-dimensional regression.

Statistics Curriculum in Liberal Arts Colleges. (Joint work with Shaoyang Ning and Jerzy Wieczorek).

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