I’m a mathematical ecologist and data scientist, working at the interface of theory and data. I’m currently working as a Postdoctoral Research Associate, based in Boston, MA, and collaborating with the Crone lab at Tuft University / UC Davis, the Schultz lab at Washington State University, Vancouver, and the Wolfe lab at Tufts University. I develop computational and statistical methods to tackle a broad range of questions in biology, including novel applications of random forests, generalized linear models, and smoothing splines, and a variety of dynamic models, computer simulations, and R packages. As an ecologist, my work focuses on identifying trends and drivers of population dynamics and shifts in phenology in rare and at-risk species, identifying the mechanisms behind community assembly in microbiomes, and understanding plant defense strategies. I also teach courses and workshops on data science and programming, mentor quantitative methods and programming in R, and developing workflows and resources for others to streamline their R experiences. I am currently leading a team of 20 academic, federal, and state scientists in the largest assessment of butterflies in north America, in which we are using millions of records from 35 data sources to determine the status of 260 species. 

Here you can find out more about me, my research explained for academics or for a general audience, my packages and software products, as well as use tutorials and resources I’ve developed for working in ecology and evolutionary biology.