Alongshore Coupling of the Ecogeomorphology of a Beach Dune System.
Preparing and running labs for undergraduate courses at the School of the Environment, marking lab assignments, holding office hours for students, assisting professors with course marking, proctoring exams.
Stressing Natural Health Products under different heat and humidity conditions in order to determine expiration dates. This requires the creation and analysis of Stability Reports, preparing and sending weekly samples to chemistry and microbiology labs, identifying out-of-specifications, tracking sample inventory.
My thesis research focuses primarily on the alongshore coupling of the eco-geomorphological characteristics of a beach dune system. This work entailed field data collection of at Prince Edward Island National Park, including UAV surveys, soil chemistry, vegetation characteristics and salinity levels. Additionally, topographic data was analyzed from the UAV surveys using Pix4D software, Structure for Motion and statistics to understand the relationship between beach-dune morphometry and coastal vegetation. The aim of this research is to better understand ecologic controls on coastal dune systems and to guide future management strategies for these sensitive environments.
My undergraduate research experience focused on understanding and analyzing biological systems from the level of DNA up to and including ecosystem processes. Primary duties included operating advanced scientific laboratory equipment and instruments, managing laboratory samples, and collating precision observations using best practices/field techniques. Finally, a major responsibility of this work was to communicate technical and scientific data to various audiences through poster and oral presentations.
Poster Presentation on Alongshore Coupling of the Ecogeomorphology of a Beach Dune System
Awarded best presentation at the annual 2018 UWill Discover conference for the category of Healthy Great Lakes
Poster presentation on Data Collection for Machine Learning Approach to Wetland Delineation
Poster presentation on Collecting Data for Machine Learning Approach to Coastal Ecosystem Delineation
Awarded a silver medal at the LEAD ceremony for Engagement, Application and Discovery.
Average of over 80% and enrolled in a co-op or internship.
Graduate with an average of 80-89.9%