MEMBERS

Miranda Kirby PhD

Associate Professor, Department of Physics, Toronto Metropolitan University

Miranda.Kirby@torontomu.ca

Dr. Miranda Kirby is an Associate Professor in the Department of Physics at Toronto Metropolitan University, an Affiliate Scientist at the Keenan Research Center and Member of the Institute of Biomedical Engineering at St. Michael’s Hospital, Adjunct Scientist at the Hospital for Sick Children and Investigator at Center for Heart Lung Innovation (HLI) at UBC. Dr. Kirby is an expert in quantitative multi-modality imaging of lung disease. She is funded by NSERC, CIHR Operating, Team and Catalyst grants, NIH, and the Lung Health Foundation.

Google Scholar : Dr. Miranda Kirby

Graduate Students

Sarah Costa Ianes

PhD Candidate, Toronto Metropolitan University

Sarah is a PhD Candidate at Toronto Metropolitan University in the CAMPEP Medical Physics program. She earned both her BSc (Biomedical Physics) and MSc (Medical Physics) at McMaster University. Sarah’s research uses computed tomography (CT) imaging to analyze cystic fibrosis disease progression through various computer programming-based methods. Outside of the lab Sarah enjoying cooking, travelling, and reading.  

Mahnoor Ahmed

MSc Candidate, Toronto Metropolitan University

Mahnoor is an MSc candidate at Toronto Metropolitan University. She earned her Bachelor’s degree in Medical Radiation Sciences from the University of Toronto and is currently pursuing an MSc in Biophysics at Toronto Metropolitan University. Her research focuses on quantitative image analysis, where she applies deep learning and 3D CT imaging to develop robust biomarkers of respiratory muscle health to improve monitoring of disease progression in chronic obstructive pulmonary disease (COPD). Outside of research, she enjoys supporting community projects, engaging with youth, and cooking and baking.

Anton Varlukhin

PhD Candidate, Toronto Metropolitan University

Allona Kaye Lim

MSc Candidate, Toronto Metropolitan University

Allona is an MSc candidate in Biomedical Physics at Toronto Metropolitan University, where she also completed her BSc (Hons.) in Medical Physics.  After working with Dr. Miranda Kirby on her undergraduate thesis, she continued her research in Quantitative CT Imaging Analysis for her graduate studies. Her interest in medical imaging encouraged her to continue pursuing research on exploring open-source, deep-learning airway segmentation methods and their impact on the extraction of quantitative airway CT biomarkers. Outside the lab, she enjoys reading and playing the guitar.

Gauravveer Singh

PhD Candidate, Toronto Metropolitan University

Gauravveer is a third-year PhD candidate in Medical Physics, specializing in the development of CT imaging biomarkers to study pulmonary vasculature in Chronic Obstructive Pulmonary Disease (COPD). Throughout his undergraduate and graduate studies, his research has focused on advanced image analysis, quantitative CT measurement extraction, and statistical analysis of medical data. His work aims to uncover structural and functional lung changes associated with disease severity, contributing to improved diagnostic and therapeutic approaches.

Outside the lab, he enjoys spending time outdoors, biking, playing golf, and cooking.

Ohiomueti Uantioje 

Masters Student, Toronto Metropolitan University 

Ohio is a 1st year Master’s Student who has always been drawn to solving problems and answering questions that don’t have straightforward solutions. He completed his undergraduate degree in Biomedical Engineering at Toronto Metropolitan University and is currently pursuing a MASc in Biomedical Engineering. His interests lie at the intersection of healthcare and engineering, where he strives to develop innovative solutions to advance medical technologies and improve patient outcomes.

With a strong background in medical device design, imaging systems, biomaterials, and biomedical signals and systems, he is passionate about exploring cutting-edge developments. His research focuses on developing deep learning models for advanced medical image analysis. Outside the lab, he enjoys reading, playing basketball, and exploring new technologies.

Leila Lukhamaidze

PhD Candidate Toronto Metropolitan University