Teaching and Mentoring
My goal in teaching and mentoring is to help students to develop as scientists and giving them the skills they need to continue learning independently.
In the classroom, I emphasize conceptual understanding of course material, using inquiry-based and open-ended activities to allow students to engage with and discover concepts on their own.
My courses also emphasize critical thinking, scientific writing, and analytical skills. I introduce students to primary literature, current research, and relevant real-world events, so they can see how scientists use the concepts they are learning in class.
East Stroudsburg University
BIOL 115 | Introductory Biology II (lab) | Spring 2018
BIOL 200 | General Ecology (lab) | Fall 2017-18, Spring 2018
BIOL 220 | Field Botany (lecture and lab) | Spring 2018
BIOL 423/523 | Plant Ecology (undergraduate and graduate levels, lecture and lab) | Fall 2017-18
BIOL 496 | Seminar II | Spring 2018
BIOL 583 | Research Design and Data Analysis for Biologists | Fall 2018
Stony Brook University
BIO 211 | Statistics and Data Analysis: A Conceptual Approach | Fall 2015
BIO 341 | Plant Diversity (lecture and lab) | Summer 2015
BIO 301/ECO 301/GEO 301 | Sustainability of the Long Island Pine Barrens | Summer 2011
BIO 341 | Plant Diversity (lecture and lab) | Spring 2013
BIO 356/BEE 587 | Applied Ecology and Conservation Biology (lab) | Spring 2010
BIO 204 | Fundamentals of Scientific Inquiry in the Biological Sciences I | Fall 2009
As a plant ecologist, one of my primary motivations in teaching is to reduce “plant blindness” in my students. I aim to help students become more aware of plants as compelling, dynamic living organisms, rather than just a green backdrop to the rest of our lives.
Plant Ecology places the study of the form and function of plants in the context of their ecological interactions. This course incorporates class discussions, laboratory and field field observations, and original research projects carried out by the class. Students learn plant identification skills and methods of ecological research and vegetation analysis through hands-on practice in the classroom and outdoors.
This course is designed to instill knowledge of the principles of fundamentals of plant ecology and the methods of vegetation analysis.
Research Design and Data Analysis
Research Design and Data Analysis is a graduate-level course in experimental design and statistical analysis, focused on the statistical programming language R. Students become familiar with managing, plotting, and analyzing their data in R and the RStudio IDE and managing shared coding projects via GitHub. The course also covers complex experimental designs, the appropriate statistical models to analyze those designs, and the implementation of those models in R.
This course covers methods of experimental design and analysis in biological research, with special emphasis on common experimental design issues and sampling methods encountered in laboratory and field studies. The course also introduces modern computing techniques for data management and statistical analysis in biology.
After completion of the course, students should be able to: