Our people

Matheus Correia is a PhD alum of the University of Waterloo, supervised by Dr. Duane Cronin and Dr. Stewart McLachlin. He also earned his Master of Science in Mechanical Engineering from the University of Waterloo. His research focuses on human body modeling for injury prediction with a special interest in neck muscle activation. Besides his doctorate research, he collaborated with industry partners to develop a novel synthetic turf finite element model for sports fields.

Martine McGregor is an assistant professor (teaching) and PhD alum at the University of Waterloo. During her time in the ORTHOtron Lab, she was supervised by Dr. Stewart McLachlin funded by an Alexander Graham Bell Canada Graduate Scholarship and W.S. Rickert Fellowship of Science. Her research focused on multiaxial loading in the lumbar spine and the implications towards implant failure. Martine was also involved in collaborative research with the Multiscale Additive Manufacturing (MSAM) group focused on design for AM in orthopaedics and manufacturability.

Richard Barina is a MASc alum of the OrthoTron Lab, supervised by Prof. Stewart McLachlin, PhD, PEng. He previously earned his BASc undergraduate degree at the University of Waterloo in Mechatronics Engineering with a focus in biomechanics. Richard's research centered on the application of additive manufacturing to orthopaedics with a focus on intervertebral spinal implants. Richard has presented his work at the International Society for Technology in Arthroplasty (ISTA) conference on the computational topology optimization of spinal implants loaded under physiologic loads.

Jonathan Chu is a MASc alum of Mechanical and Mechatronics Engineering, under the supervision of Professor Stewart McLachlin in the OrthoTron Lab. He was also co-supervised by Professor Alexander Wong of the Vision and Image Processing Lab at UWaterloo, and Dr. Michael Hardisty of the Orthopaedic Biomechanics Lab at Sunnybrook Research Institute. His research focused on applying AI and deep learning for medical image processing and analysis. He completed his BASc in Mechanical Engineering at the University of Waterloo.

Teresa is a MASc alum of the University of Waterloo. During her degree, she was supervised by Dr. Stewart McLachlin. Her undergraduate degree is in Biomedical Engineering, also from the University of Waterloo. Her research focused on the development of a navigation system for ACL reconstruction. 

About Aleksander Rycman

Aleksander is a PhD Graduate of the Department of Mechanical and Mechatronics Engineering at the University of Waterloo under supervision of Professor Cronin and Professor McLachlin. He has received his Master’s degree in Mechanical Engineering at Wroclaw University of Science and Technology.

Aleks investigated and developd numerical human body models for safety, particularly in soft tissues and neural tissues injury prediction. This research was heavily industry and application oriented and was conducted in collaboration with Global Human Body Modeling Consortium (GHBMC).

Aleks was a recipient of Graduate Research Scholarship and International Doctoral Student Award.

About Daniel Fournier

Daniel is a former MASc student in the Department of Kinesiology at the University of Waterloo. After receiving his Bachelor of Science (BSc) in Kinesiology from the University of Waterloo in 2017, he chose to pursue a Master of Science (MASc) degree to explore his interests in shoulder and clinical biomechanics. During his time as a graduate student, he was co-supervised by professor Stewart McLachlin (Mechanical Engineering - ORTHOtron group) and professor Clark Dickerson (Kinesiology - DIESEL group).

Daniel’s research focused on compensatory kinematics during rehabilitative shoulder exercises and the use of smartwatches to recognize and evaluate rehabilitative shoulder exercise performance. Daniel also collaborated on other projects: exploring genetic and physical factors associated with rotator cuff tear diseases; and testing if a smartwatch can determine arm elevation heights in a workplace setting.