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McDonald Institute Internships

The McDonald Institute’s Cross-Disciplinary Internship (CDI) program offers students and young researchers unique opportunities to connect their unique and diverse research to astroparticle physics.

Previous Interns

Emily Darling (she/her)

Cross-Disciplinary Intern

linkedin.com/in/emily-darling/


emily.darling@queensu.ca
Undergraduate student, Geological Sciences at Queen’s University
Cross-Disciplinary Project: Muon flux characterization in the DEAP-3600 water Cherenkov muon veto, Dr. Simon Viel (Carleton University)
Undergraduate student, Computer Science at the University of Toronto
Cross-Disciplinary Project: Applying Machine Learning to Event Reconstruction for the SuperCDMS SNOLAB Experiment, Dr. Miriam Diamond (University of Toronto)

Georges Kanaan

Cross-Disciplinary Intern

linkedin.com/in/ge0rges/


georges.kanaan@mail.utoronto.ca
Undergraduate student, Computer Science at the University of Toronto
Cross-Disciplinary Project: Applying Machine Learning to Event Reconstruction for the SuperCDMS SNOLAB Experiment, Dr. Miriam Diamond (University of Toronto)

Sidney Leggett (Wápiskisiw Pinésiw Iskwéw)

Cross-Disciplinary Intern

linkedin.com/in/sidney-leggett-3139991b4


sidneyleggs@gmail.com
Undergraduate Student, Computer Science specialization in Health Informatics at The University of Winnipeg
Cross-Disciplinary Project: Development of novel isotopic techniques in neutrinoless double beta decay and low-background in support of Astroparticle physics, Dr. Matthew Leybourne (Queen’s University)

Kaelan Renault

Cross-Disciplinary Intern

linkedin.com/in/kaelan-renault/


krenault@laurentian.ca
Master’s student in Computational Sciences at Laurentian University
Cross-Disciplinary Project: Modelling of the Neutron Detector Characterization Facility for Supernova Physics, Dr. Clarence Virtue (Laurentian University)