I use a range of statistical methods, including Network Meta-Analysis (NMA), Bayesian statistics, and survey sampling to solve real-world challenges. In particular, I am interested in problems in synthesizing data from multiple sites and studies, and quantifying methane emissions to mitigate climate change.

Publications

Please see my Google Scholar.

Software

poth, an R package for quantifying the uncertainty in a treatment hierarchy from Bayesian or frequentist network meta-analysis.

methaneInventory, an R package to facilitate the creation of methane emission inventories from survey data, which accompanies this pre-print.

I am involved in the maintenance and development of the BUGSnet R package, which conducts Bayesian network meta-analysis and facilitates compliance with best practices for reporting.

For more projects, see my Github.