I am a third year PhD student in the Quantitative Ecology and Resource Management program at the University of Washington. My research focuses on applying spatiotemporal statistical models to questions in fisheries management and ecology. In particular, I am developing models for improving indices of abundance derived from fishery-dependent observations. I am also intereted in improving the computational efficiency and reliability of Bayesian model fits through the application of advanced Markov chain Monte Carlo tools like the No-U-Turn Sampler. Prior to graduate school I worked in aviation maintenance and the outdoor industry.


  • Spatiotemporal statistics
  • Bayesian statistics
  • Fisheries management


  • PhD in Quantitative Ecology & Resource Management, In progress

    University of Washington

  • MS in Statistics, 2016

    University of Alaska Fairbanks

  • BS in Biology & Physics, 2008

    Clarkson University


Combining fishery-dependent and -independent CPUE data

Spatially varying catchability for fishery-dependent CPUE standardization.

Preferential sampling in fishery-dependent catch and effort data

Accounting for preferential sampling in spatial models of catch and effort data

Nonstationary spatial processes for fisheries

Incorporating nonstationary spatial processes by allowing for spatially varying covariance parameters.

Best practices for fitting non-linear Bayesian state-space models

Eliminating HMC divergences when fitting Bayesian state-space models for fish populations.

Bayesian models for assessment of Southern Humpback whales

This project is a collaboration between Alex Zerbini, Grant Adams, and myself.

We are working to update Zerbini et al. (2006). …

Recent & Upcoming Talks

Bayesian spatio-temporal modelling of anchovy abundance through the SPDE approach

A discussion of Bayesian spatio-temporal modelling of anchovy abundance through the SPDE approach by Quiroz and Prates for the Winter …

Reparameterizing Bayesian state-space models for more reliable fits

Bayesian state space models have played an important role in fisheries for many years. These models are typically fit using Markov …

Advanced Spatial Modeling with SPDEs using R and INLA, Chapter 1

A discussion of Chapter 1 in Advanced Spatial Modeling with SPDEs using R and INLA for the Autumn 2018 Space-time reading group at the …

Nonstationarity in Spatiotemporal Fisheries Models

Many fish species occur in areas with complicated geography. Natural barriers such as islands and coastlines mean that the spatial …

A spatiotemporal model for combining survey and fishery data

Sustainable fisheries management requires the best stock assessments available in order to determine the current state of a stock and …


University of Washington School of Professional & Continuing Education

Course Assistant, 2016–present

Certificate in Statistical Analysis with R Programming