fungraphMTH 490:  Maximum Likelihood Analysis in Ecology 
Michigan State University
Enhancing Linkages between Math and Ecology Instructor (Summer 2012, 2014, 2015), TA (2009, 2010)

This course focuses on teaching students (from advanced undergrads to post-docs) the basics of maximum likelihood techniques, and how to apply them to answer ecological questions. By the end of this intensive, week-long course, students engage in independent projects using newly learned techniques to analyze their own data and research, culminating in oral presentations.

As the primary instructor for three years, I have developed my own course materials, lectures, and laboratory assignments. In 2014 I coordinated the entire lineup of ELME courses, which included both my course and two others: “Introduction to Bayesian statistics for ecologists“, taught by Tom Miller (Rice), and “Modeling Systems with Causal Networks (Structural Equation Models)“, taught by Don Schoolmaster (USGS).

OLYMPUS DIGITAL CAMERAPLB 809: Evolutionary Ecology and Adaptive Dynamics

Michigan State University
Enhancing Linkages between Math and Ecology

TA (Summer 2011)

This course was led by Stefan Geritz and Chris Klausmeier, focusing on modeling techniques used in evolutionary ecology. Topics included game theory and adaptive dynamics approaches. As a teaching assistant, I helped students develop independent research projects and with programming in Mathematica.

OLYMPUS DIGITAL CAMERABIOL 250: Biological Data Analysis
State University of NY, College at Geneseo
TA (Fall 2007)

This course provided an introduction to statistics and data analysis targeted at sophomore level biology students. As a teaching assistant for this course, I held office hours and assisting in developing and leading laboratory activities.