Research
My research focuses on the interface between optimization and Bayes: optimization-based priors, optimization-based likelihoods, and optimization-based generative models. Applications are motivated by collaborative work in neuroscience, engineering, forensics, and data privacy.
† Student or trainee I advised
Preprints
- Relaxation of Projected Prior with Continuous Gap Shrinkage arXiv, 2026
- Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection arXiv, 2026
- Revisiting Bayesian Variable Selection via Optimization arXiv, 2026
- Graphical Model-based Inference for Persistent Homology arXiv, 2025
- Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions arXiv, 2025
- Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest arXiv, 2024
- The Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes arXiv, 2024
Publications
- Statistical Modeling of Combinatorial Response Data Journal of the American Statistical Association (in press), 2026
- Graph-Accelerated Markov Chain Monte Carlo Using Approximate Samples Journal of Machine Learning Research, 26(232): 1–25, 2025
- Exact Sampling of Spanning Trees via Fast-Forwarded Random Walks Biometrika, 2025
- Gibbs Sampling Using Anti-Correlation Gaussian Data Augmentation, With Applications to L1-Ball-Type Models Journal of Computational and Graphical Statistics, 2025
- Spectral Clustering, Spanning Forest, and Bayesian Forest Process Journal of the American Statistical Association, 119(547): 2140–2153, 2024
- Analysing and Visualising Mobility Vulnerability and Recovery Across Florida Neighbourhoods: A Case Study of Hurricane Ian Regional Studies, Regional Science, 11(1): 384–386, 2024
- Returners and Explorers Dichotomy in the Face of Natural Hazards Scientific Reports, 14(1): 13184, 2024
- Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality Journal of the American Statistical Association, 119(547): 1847–1858, 2024
- Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph Journal of Machine Learning Research, 24(397): 1–44, 2023
- Bayesian Spiked Laplacian Graphs Journal of Machine Learning Research, 24(3): 1–35, 2023
- Low Tree-Rank Bayesian Vector Autoregression Models Journal of Machine Learning Research, 24(286): 1–35, 2023
- Bayesian Inference with the L1-ball Prior: Solving Combinatorial Problems with Exact Zeros Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5): 1538–1560, 2023
- Quasi-Bernoulli Stick-Breaking: Infinite Mixture With Cluster Consistency Journal of Machine Learning Research, 24(153): 1–32, 2023
- Imaging Biomarkers for Alzheimer's Disease Using Magnetic Resonance Microscopy Magnetic Resonance Microscopy: Instrumentation and Applications in Engineering, Life Science, and Energy Research, 2022
- Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport Journal of the American Statistical Association, 118(543): 1659–1670, 2022
- Bayesian Distance Clustering Journal of Machine Learning Research, 22(224): 1–27, 2021
- Data Driven Decision Making to Characterize Clinical Personas of Parents of Children With Cystic Fibrosis: A Mixed Methods Study BMC Pulmonary Medicine, 20(1): 1–14, 2020
- Bayesian Constraint Relaxation Biometrika, 107(1): 191–204, 2020
- Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification Journal of Machine Learning Research, 21(38): 1–25, 2020
- Computationally Efficient Joint Species Distribution Modeling of Big Spatial Data Ecology, 101(2): e02929, 2019
- Scaling Up Data Augmentation MCMC via Calibration Journal of Machine Learning Research, 19(1): 2575–2608, 2018
- Joint Hierarchical Gaussian Process Model With Application to Personalized Prediction in Medical Monitoring Stat, 7(1): e178, 2018
- Functional Inverted-Wishart for Bayesian Multivariate Spatial Modeling with Application to Regional Climatology Model Data Environmetrics, 28(7), 2017
- How to Make More Out of Community Data? A Conceptual Framework and Its Implementation as Models and Software Ecology Letters, 20(5): 561–576, 2017
- The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital Applied Clinical Informatics, 8(2): 491–501, 2017
- Longitudinal Patterns of Glycemic Control and Blood Pressure in Pregnant Women with Type 1 Diabetes Mellitus: Phenotypes From Functional Data Analysis American Journal of Perinatology, 33(13): 1282–1290, 2016
- Bayesian Ensemble Trees for Clustering and Prediction in Heterogeneous Data Journal of Computational and Graphical Statistics, 25(3): 748–761, 2016
- Concentration of Fractional Excretion of Nitric Oxide: A Potential Airway Biomarker of Restored CFTR Function Journal of Cystic Fibrosis, 14(6): 733–740, 2015
- A Semiparametric Approach to Estimate Rapid Lung Function Decline in Cystic Fibrosis Annals of Epidemiology, 23(12): 771–777, 2013
Funding & Awards
- 2023–2027NSF-ATD: Geospatial Modeling and Risk Mitigation for Human Movement Dynamics under Hurricane Threats (PI)
- 2024UF CLAS Fellowship for Doctoral Student Supervised
- 2022UF CLAS Faculty Travel Award
- 2022–2023UFII SEED Funding Award
- 2021UF Statistics Faculty Award for Doctoral Student Supervised
- 2018NeurIPS Bayesian Non-parametrics Award
- 2015ASA Paper Competition Award, Section on Bayesian Statistical Science
- 2014Woodside Foundation Award for Contribution in Biostatistics and Epidemiology Research