Associate Professor (Grade 9)
Research Interests: Bayesian methods and Bayesian nonparametrics, analysis of Markov models, and applications to biology and biophysics
Publications
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design.
– Journal of chemical information and modeling
(2022)
62,
3486
(doi: 10.1021/acs.jcim.1c01334)
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
– Annals of Applied Statistics
(2021)
15,
363
(doi: 10.1214/20-aoas1401)
BETS: The dangers of selection bias in early analyses of the coronavirus
disease (COVID-19) pandemic
(2020)
Bayesian mixed effects model for zero-inflated compositions in microbiome data analysis
– Annals of Applied Statistics
(2020)
Bayesian Uncertainty Directed Trial Designs
– Journal of the American Statistical Association
(2019)
114,
962
Sufficientness Postulates for Gibbs-Type Priors and Hierarchical Generalizations
– Statistical Science
(2017)
32,
487
(doi: 10.1214/17-sts619)
Bayesian Nonparametric Ordination for the Analysis of Microbial Communities.
– Journal of the American Statistical Association
(2017)
112,
1430
Bayesian nonparametric inference for shared species richness in multiple populations
– Journal of Statistical Planning and Inference
(2015)
166,
14
(doi: 10.1016/j.jspi.2014.03.010)
Bayesian Regularization of the Length of Memory in Reversible Sequences
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2015)
78,
933
(doi: 10.1111/rssb.12140)
de Finetti Priors using Markov chain Monte Carlo computations
– Statistics and computing
(2015)
25,
797
(doi: 10.1007/s11222-015-9562-9)