Contact us: aah@groups.unbc.ca
Faculty Advisors
Dr. Eduardo Martins
Dr. Heather Bryan
Active Teaching Assistants
Sunny Tseng is a PhD student in NRES. She has been enjoying the beauty of R since she was an undergraduate student and throughout her MSc research. In particular, she is currently using R for avian acoustic analysis. She has TAed in the UBC Master of Data Science program, which got her into teaching/discussing data analysis with people.
Halena Scanlon is a Masters student in NRES, with her research focusing on linking Inuit and scientific knowledge of Arctic char. Specialising in qualitative research, she has used NVivo throughout her studies and professional career. She is excited to support others in their research.
Miguel Arias Patino is a PhD candidate in NRES and an Engineer with a Master’s degree in Geomatics. His primary objective is to contribute to the development of effective solutions for environmental issues through the application of spatial and analytical methods. Currently, his research focuses on enhancing cumulative pressure mapping and wilderness mapping for the province of British Columbia. Miguel has experience in GIS, remote sensing, spatial analysis, and the application of cutting-edge techniques, including spatial regressions, land use and land cover change models, geostatistics, and machine learning. He has honed these skills using programming languages such as Python and R.
Previous Teaching Assistants
Lisa Koetke studies the impact of forest harvesting on moose as a PhD candidate in NRES. She has used R for most of her analyses since being an undergraduate student. She understands both the excitement of seeing results and the steep-learning curve associated with most analyses.
Juan Ramirez Delgado is a PhD candidate in NRES studying the relationship between landscape changes and the risk of extinction of terrestrial mammals. He has been using R since his undergrad studies and throughout his professional career. He is excited about helping people with their research methodologies and statistical methods.