PhD Computational Biology Tutor for Statistics, Biostatistics, R,

Griffin T.

I am a PhD student in Computational Biology with a background in molecular and cell biology and a strong foundation in quantitative analysis. I earned my undergraduate degree from McGill University, where I studied Molecular and Cell Biology as well as History. My academic work has consistently involved statistics, data analysis, and scientific interpretation. My current research involves statistics, graph theory, and dynamical systems approaches to handle biological and biomedical data.

I have teaching experience in college level statistics, including teaching Introductory Statistics at the University of New England. In my research position I have also had the pleasure of mentoring undergraduate and masters level students who have worked with us as interns. I enjoy working with students who feel overwhelmed by the subject, and helping them build understanding and confidence step by step. I have worked with students in classroom settings and one on one, and I focus on making difficult concepts easy to understand in practice, rather than relying on memorization. I can help with subjects in mathematics such as statistics, linear algebra, calculus, and graph theory, as well as molecular and cell biology, biochemistry, and other related topics.

My tutoring style is patient and focused on identifying the connecting threads between subjects that make everything suddenly come together. I start by figuring out exactly where confusion begins, then we work through the examples together until the method makes sense and can be applied independently. Many courses teach things one way, but the beauty of math and science is that there are many correct ways to get the right result, and each student responds differently to different approaches. My goal is not just to get you through one assignment or exam, but to help you become more confident and capable in the material overall.