Dr. Suann Yang has been a member of the 黑料传送门 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 黑料传送门, 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 Fall 2025
- Tuesdays 12:30pm-1:30pm ISC 232
- Wednesdays 12:00pm-1:00pm ISC 232
- Thursdays 12:30pm-1:30pm 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 119: Gen Bio-Diversity,Physiol,Eco
An introductory course in the biological sciences covering animal diversity, animal biology, plant biology, and ecology.
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BIOL 120: General Biology Laboratory II
An introductory experience which develops laboratory and analytical skills in the biological sciences. Students will learn introductory statistical analysis, oral communication, and techniques of applied research. This course has a pending $5.00 fee.
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BIOL 350: Applied Biostatistics
Quantitative analysis in the biological sciences involves understanding the process of science, experimental design, sampling theory, graphs, and data analysis and interpretation. Students will develop and test hypotheses using statistics and graphing techniques in computer-based exercises, specifically learning to code in the R Programming Environment. Throughout the semester, students will collaborate on a major data analysis project.