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. Experimental Designs in Marketplaces. Statistical Science, 2023.

. Cross-Study Replicability in Cluster Analysis. Statistical Science, 2023.

. Double trouble: Predicting new variant counts across two heterogeneous populations. NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022.

. Bayesian nonparametric strategies for power maximization in rare variants association studies. arXiv preprint arXiv:2112.02032, 2022.

. Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation. Journal of the American Statistical Association, 2022.

. More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics. Biometrika, 2021.

. The Chicago Police Department dataset. Neural Information Processing Systems Track on Datasets and Benchmarks, 2021.

. Multiple randomization designs. arXiv preprint arXiv:2112.13495, 2021.

. Independent finite approximations for Bayesian nonparametric inference. arXiv preprint arXiv:2009.10780, 2020.

. Posterior representations of hierarchical completely random measures in trait allocation models. NeurIPS Workshop on All of Bayesian Nonparametrics, 2018.