Outcomes

Innovation With Impact

Identify problems in medical informatics with high potential for impact and utility

Problem Solving Skills

Formulate problems, critically evaluate them and research & build methods to solve them

Knowledge-based Scholarship

Comprehend, recall and apply concepts in computing, health, mathematics and medical informatics

Interdisciplinary Collaboration and Experiential Learning

Participate in teams with other professionals developing and adapting computer science solutions to health problems

Professional and Leadership Skills

Develop skills in ethics, communications, presentation, publishing, media, networking, leadership and team management

EDI Awareness and Promotion

Train with experts in race and informatics, inclusive workplaces, anti-racism, mental health, gender diversity, unconscious bias and intercultural awareness

Director

Parvin Mousavi

Prof. Comp/ECE/Pathology, member of the Royal Soc of Canada, College of New Scholars

As the world’s population grows to 10B by 2050, technology-enabled innovation is the critical to ensuring well-being for all. While AI and informatics show great promise in rapid analysis of next-generation large scale data, future workers will require highly specialized training fit to the unique nature of health data. We aim to solidify Canada’s competitive advantage in the global space through concerted efforts to train computer scientists with specialized multi-disciplinary experience in medical informatics and digital health, and engage diverse groups and lived experiences in our training.

Investigators

Randy Ellis
FIEEE, FASME, Queen’s Research Chair, Prof. Computing/Mech Eng/Surgery/DBMS
Aaron Fenster
Order of Ontario, CRC I, FIEEE, FRSC, FCCPM, FSPIE, Prof. Med Imaging/Biomed Eng, Western
Gabor Fichtinger
CRC I, FIEEE, FMICCAI, Prof. Computing/ECE/Pathology/Surgery, Queen’s
Ting Hu
Assistant Prof. Computing, Queen’s
Sarah Mattonen
Baines Research Chair, Asst Prof. Biomed Eng/Oncology, Western
David R. Pichora, MD
Pres/CEO, KHSC, Prof. Surgery/Mech Eng. Queen’s
John Rudan, MD
Britton Smith Chair, Director of Clinical Research at SPECTRUM (HMRC)
Amber Simpson
CRC II, Assoc. Prof. Biomed & Molecular Sci/Computing, Queen’s
Yuan Tian
Asst Prof. Computing, Queen’s
Boris Zevin, MD
SEAMO Medical Education Scholar, Asst Prof. Surgery, Queen’s

Projects

Integration, federation, and retrieval of large-scale data repositories in Canada

We collaborate with the Canadian Institute of Health Information (CIHI) and the Ontario Health Data Platform (OHDP) to tackle novel challenges in data management and devise evaluation frameworks that center on security, performance and fairness.

Next generation of actionable prescriptive analysis using multi-resolution, multi-modality data

We build computation models of disease from multi-omics data using machine learning, deep learning and evolutionary algorithms, focusing on innovations that address the unique nature of health data and the unavailability and vagueness of gold-standard labels (e.g., pathology labels).

Democratization of AI, software and data for healthcare

We're international leaders in developing and disseminating open source software using low-cost point-of-care imaging. Our positive impact on the global computer–assisted medical interventions community has is constantly expanding. We'll meet new challenges for discovery, refinement of methods and innovative AI-powered solutions using large open source data, hence democratizing access to care and positive outcomes of AI.

Featured Students

Faranak Akbarifar
School of Computing
Queen's University
Faranak Akbarifar is a PhD student in the School of Computing, Queen's University. She received her BSc in electrical engineering from Sharif University of Technology (Tehran, Iran) and MSc in biomedical engineering from University of Tehran (Tehran, Iran) in 2007…
Kaitlyn Kobayashi
Department of Biomedical and Molecular Science
Queen's University
Kaitlyn Kobayashi received her B.A.Sc in Mathematics and Engineering from Queen's University in 2021, specializing in Systems and Robotics. She then spent a year in Iqaluit doing logistics and data analysis for the Government of Nunavut's Department of Health. Kaitlyn…
Ayesha Syeda
School of Computing
Queen's University
Ayesha is a MSc student at the School of Computing. Previously, they completed their undergraduate degree in Computer Science & Economics at the University of Toronto. They have worked and conducted research in a variety of industries such as financial…
Rachel Theriault
School of Computing
Queen's University
Rachel Theriault is currently a PhD candidate with the Queen’s School of Computing. She completed her undergraduate degree in biomedical computing and Master’s degree in artificial intelligence at Queen’s University. Rachel’s research is focused on application of machine learning techniques…

University Partners

Queen's University
Western University