Presenter

Naomi Loughlin is a Master of Applied Science student in the Department of Systems Design Engineering at the University of Waterloo, supported by the NSERC Graduate Scholarship. She completed her Bachelor of Science (Honours) in Life Sciences with a specialization in Biomedical Sciences at Queen’s University, where she graduated first in her class and received the Medal in Life Sciences.
Her graduate research focuses on orthopedics, using Canadian Joint Replacement Registry data to analyze prescribing practices and surgical trends. She applies unsupervised machine learning techniques to identify patient subgroups and implant configurations, to inform care strategies and improve outcomes in total knee arthroplasty. More broadly, her work integrates statistical modelling, biomedical insight, and computational methods to advance data-driven healthcare.
Naomi’s research experience spans bioinformatics, where she developed automated genome assembly pipelines for high-throughput sequencing, clinical informatics through EMR workflow analysis, and gait clustering studies for osteoarthritis subtyping.
Her academic achievements and research potential have been recognized with awards including the NSERC-CGS, Ontario Graduate Scholarship, Waterloo President’s Scholarship, and the Dean of Engineering Excellence Award. Through her studies, Naomi aims to contribute to the design of scalable, reproducible, and impactful technologies that strengthen evidence-based decision-making in healthcare.