Associate Professor (Grade 9)
Research Interests: Bayesian methods and Bayesian nonparametrics, analysis of Markov models, and applications to biology and biophysics
Publications
Calibrated prediction of scarce adverse drug reaction labels with conditional neural processes
(2024)
(doi: 10.1101/2024.06.07.598036)
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design.
– J Chem Inf Model
(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
– The 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.
– J Am Stat Assoc
(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)
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