Dr. Thomas E. Doyle, Principal Investigator

Dr. Thomas E. Doyle, is the Principal Investigator of the Biomedic.AI Lab and an Associate Professor in the Department of Electrical and Computer Engineering, Faculty of Engineering, McMaster University. Dr. Doyle is a member of the McMaster School of Biomedical Engineering and a faculty affiliate of the Vector Institute for Artificial Intelligence. He received his Doctorate of Engineering Science in the domain of Machine Learning for Health Augmentation from Western University and is a Professional Engineer registered in the province of Ontario.

His core motivation is exploring how computational machines can interact with us for the augmentation, rehabilitation, and enhancement of human attributes. Perhaps the best description of his research is derived from the term cybernetics, which was defined by Norbert Wiener as the study of communication and control in the animal and the machine. He believes that the focus of his work is best defined as cybranetics, or the study of communication and control between the animal and machine.

As an educator, Dr. Doyle values the integration of experiential based learning in his teaching of Engineering Design, Digital Design, Micro Systems, and Biomedical Instrumentation.  In recognition of his teaching and related research, Dr. Dolye was named a MacPhearson Impact Fellow (2015-2017) and has been awarded the McMaster President's Award (2013) for Outstanding Contributions to Teaching and Learning.  These awards recognize leadership and those who have significantly enhanced the quality of their students' learning experience through innovative teaching methods. 

​As a computer and biomedical engineer, his technical domain expertise and interests lie at the intersection of the human and the computer.  The embedded monitoring of human attributes with the application of advanced analytics and machine learning for human health and augmentation is a primary focus. 

Technical research interests include: biomedical signal processing, health informatics, human-computer interfacing (HCI), and machine learning / AI for the augmentation, rehabilitation, and enhancement of human attributes. Pedagogical research interests include liminal spaces in engineering and medical education.

Areas of Specialization include:

• Imaging, Sensing and Detection
• Biomedical

Research Clusters Include:

• Digital & Smart Systems
• Health & Bio-innovation