Dr. Suann Yang has been a member of the Geneseo faculty since 2016.
More about Dr. Yang's Research
The Yang Lab conducts community ecology and biology education research. We value collaboration and diverse perspectives, and cultivate a supportive research environment.
Community ecology
Our research group studies how networks of interactions between species are shaped by environmental factors such as habitat structure and disturbance, and community-wide patterns of traits such as the seasonal timing of flowering and fruit production. Our researchers design and conduct field experiments in the Roemer Arboretum and other locations near Geneseo, NY. Our researchers also analyze openly available data to study the interactions between species as well as apply various modeling approaches.
Biology education
Our research group studies how pedagogical methods and curricular design influence undergraduate learning, perception of learning, and attitudes toward learning in biology courses. Our researchers become familiar with the discipline-based education research literature, design and implement assessments to evaluate student learning and attitudes, analyze data, and use the results to make recommendations for curricular design. To implement the research project, researchers may be integrated into the instructional team.

Office Hours Spring 2025
- Tuesdays 1:00pm-2:00pm ISC 232
- Wednesdays 1:00pm-2:00pm ISC 232
- Fridays 10:00am-11:00am ISC 232
Curriculum Vitae
Education
Ph.D in Botany, Washington State University, 2006
B.S. in Biological Sciences, Cornell University, 2000
Research Interests
Community ecology
Interactions between species
Biology education
Classes
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BIOL 250: Introductory Biostatistics
This introductory course in biostatistics provides students with fundamental knowledge and skills essential for understanding and analyzing data in the field of biology. Biostatistics plays a critical role in modern biology research by providing quantitative methods to collect, analyze, and interpret data. Students will gain familiarity with both parametric and nonparametric tests and proficiency in using commonly-used statistical software in the life sciences.