Sidney Leggett,
Wápiskisiw Pinésiw Iskwéw

BSc Candidate, Statistics & Data Science

CDI Summer Intern, 2020

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Supervisor: Matthew Leybourne
Home Institution: University of Winnipeg
Project Affiliations: Queen’s University

About    |    Project    |    CDI Experience


About Sidney

Sidney is entering her fourth year of undergraduate studies in Statistics with a specialization in Data Science and a minor in Computer Science at the University of Winnipeg. She has worked as a Junior Epidemiologist for the past two years where she analyzes administrative health datasets with statistical programming languages such as R and SAS, and collates the data into manuscripts and reports. In the summer of 2019 she worked as a research assistant with physicist Dr. Melanie Martin from the University of Winnipeg. There she assisted with data analysis on Simultaneous PET/MR Imaging research. Through the cross disciplinary internship, she worked with Dr. Matthew Leybourne, using the new triple quadrupole ICP-MS (TQ-ICP-MS) technology. Sidney is Métis and believes in the importance of inclusion of Indigenous peoples in STEM fields, and the importance of having diverse views within the STEM world. Her current research interests revolve around data analysis and statistical modelling for many fields, especially those that relate to human health and wellness.

Project: Development of novel isotopic techniques in neutrinoless double beta decay and low-background in support of Astroparticle Physics

This project focused on data analysis, interpretation, and visualization. Sidney worked on lowering detection limits of rare earth elements in water without pre-treatment using the TQ-ICP-MS.


“I choose to work within the physics world because it can impact so many fields, and I love how easily it can be applied to so many real world issues. “

Sidney’s CDI Experience


"CDI has made me realize the field of astroparticle physics is a lot broader than I originally thought."

My favourite part of the cross disciplinary internship was getting to network within the McDonald Institute and learn about several new research fields.

My learning experience went extremely well. Prof. Leybourne was able to communicate his knowledge clearly in a fun, understandable way.