Welcome to my page! Here you will find information about me, my work, and links to courses and internet resources that I have created!.
For more detailed information, check out my CV or resume!
Check out my profiles on LinkedIn and ResearchGate.
Teaching courses in general biology, genetics, evolution, and conservation biology.
Teaching courses in quantitative ecology and GIS, advising/mentoring of undergrads and graduate students, departmental service.
Research on Mountain Pine Beetle ecology in the forests of western North America, teaching, and mentoring.
Research on the ecology and population genetics of an invasive grass, teaching.
Master of Applied Geospatial Information Systems and Technologies (MAGIST)
Working with Spatial Data in R A presentation I gave on using R as a GIS and the basics of importing, displaying, and manipulating spatial data in R
Slides for a presentation on invasive species and climate change that I gave to the city of Gardiner NY. The invaders for sale portion of the talk was based on Eve Beaury’s article Invaders for Sale.
Slides for a presentation on invasive species and climate change that I gave to the Pennsylvania Department of Natural Resources (DCNR).
My web map portfolio from the course GEOG414: Programming for Geospatial Data Science II. (UCLA MAGIST Program, Spring 2024).
My research highlights portfolio: a selection of my research projects and publications.
My teaching tools and demos: various tools and demonstrations that I have created for use in my courses.
Analysis of Environmental Data (Lecture and Lab): Required course for all incoming ECO grad students. Broad survey of analytical technques for environmental data. Preparation for further study of advanced methods such as GLMs, mixed models, and multivariate methods. Introduction to programming in R.
Introduction to Quantitative Ecology: A first undergraduate course in statistics, geared toward environmental science majors. Taught using R.
Introduction to Geographic Information Systems: Introductory course in GIS.
Spatial Data Analysis in R: a course covering the basics of spatial statistics, taught using R.