Leo Duan's Research Website

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Hello, thanks for checking out my website.

I’m Leo Duan. I’m a statistician and an assistant professor working at University of Florida since 2018. Prior to that, I obtained my PhD in Mathematics at University of Cincinnati in 2015 under the supervision of Rhonda Szczesniak and Xia Wang, worked a year as a “data scientist” in the tech sector, and spent two years as a postdoc working with David Dunson at Johns Hopkins and Duke University.


Research Interests

My recent research focuses on the following areas (with some representative works):

  1. Optimization & Bayes:

    • Maoran Xu, Hua Zhou, Yujie Hu and Leo L. Duan. Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality. (revision submitted to JASA 2022) https://arxiv.org/abs/2108.04851
    • Maoran Xu and Leo L. Duan. Bayesian Inference with the l1-ball Prior: Solving Combinatorial Problems with Exact Zeros. (revision submitted to JRSSB 2022) https://arxiv.org/abs/2006.01340
    • Leo L. Duan. High-Accuracy Posterior Approximation via Random Transport. JASA, 2021.
    • Leo L. Duan. Latent Simplex Position Model. JMLR, 2020.
    • Leo L. Duan, Alex Young, Akihiko Nishimura, and David B. Dunson. Bayesian Constraint Relaxation. Biometrika 2019.
    • Leo L. Duan, James E. Johndrow, and David B. Dunson. Scaling up Data Augmentation MCMC via Calibration. JMLR, 2018.
  2. Graph, Clustering & Bayes:

    • Leo L. Duan, George Michailidis and Mingzhou Ding. Spiked Laplacian Graph. JMLR, 2022. http://arxiv.org/abs/1910.02471
    • Leo L. Duan and Arkaprava Roy. Spectral Clustering, Spanning Forest, and Bayesian Forest Process. 2022+ https://arxiv.org/abs/2202.00493
    • Cheng Zeng, Jeffrey Miller and Leo L. Duan. Quasi-Bernoulli Stick-breaking: Infinite Mixture with Cluster Consistency. (revision at JMLR 2022) https://arxiv.org/abs/2008.09938
    • Leo L. Duan and David B. Dunson. Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph. 2022+. https://arxiv.org/abs/2106.16120
    • Zeyu Yuwen, George Michailidis, Zhengwu Zhang and Leo L. Duan. Bayesian Vector Autoregression using the Tree Rank Prior. 2022+ https://arxiv.org/abs/2204.01573
    • Leo L. Duan and David B. Dunson. Bayesian Distance Clustering. JMLR, 2021.

Current and Former PhD students

Maoran Xu (Graduated 2022),

Eleni Dilma,

Cheng Zeng,

Yu Zheng,

Yaozhi Yang

Contact Info

PhD student interested in working with us? Send me an email! li dot duan at ufl dot edu

Academic Services

Associate Editor of

Data Science in Science

Reviewer for

AISTATS, Bayesian Analysis, Bernoulli, Biometrics, Journal of Machine Learning Research, Journal of the American Statistical Association, Statistics in Medicine, Statistical Sinica, NeurIPS


For the up-to-date list of publications and pre-prints, see https://scholar.google.com/citations?user=4i5UQLAAAAAJ&hl=en