My Teaching

This informal course introduced a cohort of 6–11 high school and undergraduate summer interns to the foundations of managing, analyzing, and visualizing data in R. Students explored core statistical concepts—including basic probability, an overview of frequentist inference and hypothesis testing, linear and mixed-effects models, and ordination and principal components analysis—while gaining hands-on experience working with real datasets. I designed a 10-lesson sequence of lectures and applied exercises, delivered these sessions throughout the program, and provided guidance as students implemented analytical approaches for their end-of-summer independent research projects.

This course introduced students to the process of conducting biological research in ecology and evolution, from reviewing background literature and developing hypotheses to collecting and analyzing data and presenting results. I led lecture and lab sections, taught students R, provided feedback on homework, research papers, and presentations, and redesigned course materials including assignments, project requirements, and grading rubrics.

This course covered the estimation and analysis of populations, including computer modeling of sampling methods, population dynamics, and approaches to wildlife population management. In my role, I supported computer labs, graded homework assignments and exams, answered student questions, and delivered a lecture on the mathematics of community ecology.

This course introduced students to wildlife research techniques used in managing populations and habitats. Through laboratory and field exercises, students gathered and analyzed data while practicing basic scientific writing. In my role, I provided feedback on exams and research papers, facilitated group discussions, lectures, and laboratory sections, and met individually with students to address questions.