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Ben Rubin, PhD

Forest ecology, landscape pathology, forest health monitoring, statistical analysis

Ben Rubin Position:

Assistant Professor, Departmental Statistical Consultant
Biological & Geological Sciences 3072
(519) 661-2111 x 87475
519 661-3135

My areas of teaching interest are ecology and statistics. Recently, I have taught two ecological courses. In Environmental Biology students have the opportunity to learn the current state of the science concerning several major environmental issues.  The course also focuses on scientific methods of gathering information and evidence about the relationship between humans and our environment.  My field biology course takes place in mi- May at the Huntington Wildlife Forest in the central Adirondack Mountains, NY, USA.  The students and I spend two weeks living at a research station and exploring the flora, fauna and history of the region and practicing field sampling methods.

I have taught statistics courses for graduate students in Biology and in the Masters of Management and Applied Sciences (MMASc) program. For biology graduate students, recent offerings include Analytical Methods & Study Design in Biology, an introductory statistics course for Biology graduate students and Statistical Modeling of Biological Data a course in mixed effects modeling and related concepts. Recent courses in the MMASc program include Applied Biostatistics and Global Health Analytics which are both applied statistical courses designed to prepare students to be intelligent and sophisticated "consumers" of statistical information.

In addition to teaching these courses I offer statistical consulting to researchers in the Biology Department including faculty, post-docs, graduate & undergraduate honours thesis students. Consulting activities include 1) one on one advice about study design or data analysis, 2) occasional workshops introducing the statistical programming language, R or demonstrating some basic analytical procedures in R, 3) collaboration with other members of the department on research papers, and 4) participating in lab meetings when analytical techniques are discussed. If you are interested in any of these or other help with study design, statistics or R, please email me!

Degrees and Institutions


Courses taught in the last 3 years:

Recent Publications