Scholarship

My scholarship spans statistical theory, applications, & communication.

For detailed information, please see my CV. My interests in statistical theory, applications, and communication are complementary. Developments in statistical theory provide improved tools with broad applications. In turn, applications in specialized settings can illustrate weaknesses in the current theory. Further, both applied and theoretical work can highlight gaps in the communication pipeline.

• Statistical Theory
  My theoretical research investigates Markov chain Monte Carlo (MCMC) simulation techniques and their application in Bayesian analysis. A key question in this setting is “does this MCMC simulation accurately represent my Bayesian model?”. To this end, my research examines Markov chain convergence properties and their impact on the quality of an MCMC simulation.

• Statistical Applications & Engagement
  I’m inspired by the use of statistics for discovery through its countless applications. These interests have produced interdisciplinary collaborations with scholars in economics, agriculture, entomology, primatology, geology, public health… I’m also driven to provide local organizations with powerful statistical tools that, when combined with the existing expertise of these organizations, can help advance and advocate for their missions. To this end, my past courses have collaborated with five different community organizations, and I peronally do ad hoc pro bono consulting.

• Statistical Communication
  The driving goal behind Bayes Rules! An introduction to Bayesian modeling with R is to bring the power of Bayesian statistics to a broader audience. By closing communication gaps, we hope to make the field more accessible and inclusive.