Topics of interest

Broadly speaking, I am interested in data-driven and computational approaches that often are complemented by analytical approaches to address hypotheses and questions that are scientific, mathematic, and/or statistical in nature. I enjoy collaborating as part of a research team, working hands-on with empirical scientists, and sharing results with policy-makers. I also enjoy mentoring undergraduate research, along with collaborating with other graduate students.

Current work

I’m actively working on my dissertation and mentoring undergraduate research. My dissertation is currently targeted in three areas.

  • Understanding how shortcomings in contributions to highly connected ecological communities affects population dynamics, using social bees and pesticides as a case study.
  • Investigating the cultural evolution of bird song through dispersion, disruption, and selection.
  • Connecting ecological niche models to mechanistic models of populations. I’m also currently mentoring one undergraduate student who is creating a mathematical model of the winter-tick epizootic of moose.

Computing Proficiencies

  • Advanced knowledge: Python, MATLAB, NetLogo, Git, and LaTeX.
  • Basic knowledge: Mathematica, R, and C++.