Publications

(2022). Global disparities in SARS-CoV-2 genomic surveillance. Nature Communications.

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(2022). Track Omicron’s spread with molecular data. In Science.

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(2022). Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England. In EClinicalMedicine.

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(2022). The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity. In Archives of Toxicology.

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(2022). Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals. In Nature Medicine.

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(2022). PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation. In Journal of the Royal Society Interface.

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(2022). Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States. In medRxiv.

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(2021). Flexible Fitting of PROTAC Concentration–Response Curves with Changepoint Gaussian Processes. In SLAS Discovery.

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(2021). Julia Ecosystem Contributor's Guide.

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(2021). Bayesian workflow for disease transmission modeling in Stan. In Statistics in Medicine.

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(2021). Uncertainty quantification in drug design. In Drug Discovery Today.

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(2021). Introduction to artificial intelligence and machine learning. Elsevier.

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(2020). A Bayesian neural network for toxicity prediction. In Computational Toxicology.

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(2020). Determining organ weight toxicity with Bayesian causal models: Improving on the analysis of relative organ weights. In Scientific Reports.

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(2019). Predicting drug-induced liver injury with Bayesian machine learning. In Chemical Research in Toxicology.

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(2018). Strong continuity for the 2D Euler equations. In American Institute of Mathematical Sciences.

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