Parvin Mousavi

Faculty Member

Website Google Scholar

Professor, Faculty of Arts and Science, School of Computing, Queen’s University

Canada CIFAR Artificial Intelligence Chair

Parvin Mousavi is a Professor of Computer Science, Medicine, Pathology and Biomedical and Molecular Sciences at Queen’s University, and a member of the Royal Society of Canada, College of New Scholars.  She received her PhD from the University of British Columbia, Canada and her MSc from Imperial College, UK.  She has previously held a Senior Scientist position at Brigham and Women’s Hospital in Boston and visiting professorships at Harvard Medical School and the University of British Columbia. Her research focus is on developing and leveraging machine learning in computer assisted medical interventions and precision medicine, contributing to the societal impact of AI on the global community. She also leads training of the next generation of AI talent through a multi-institutional NSERC CREATE Training program in Medical Informatics at the intersection of machine learning and digital health.

Research Interests

  • Machine Learning in Computer Assisted Diagnosis and Interventions
  • Image-Guided Interventions
  • Ultrasound Imaging
  • Medical Image Computing
  • Computational Biology
  • Bioinformatics
  • Systems Biology

Highlights

  • Member of the Royal Society of Canada – College of New Scholars, Artists and Scientists
  • Fellow, Medical Image Computing and Computer Assisted Interventions, 2021
  • IEEE Canada C.C. Gotlieb Computer Medal, 2019
  • Creative Destruction Laboratory Ideas Award, 2018
  • Scientific Advisory Board, the German National Center for Tumor Disease, 2023-28
  • Review Board, Imaging and Radio-oncology, the German Cancer Research Center, 2023
  • Advisory Board, National Center for Image Guided Therapy, Brigham and Women’s Hospital, Harvard Medical School, 2021-
  • G7 Academy of Sciences – Representative of Royal Society of Canada on AI, 2018-2019
  • Co-Founder and Executive Committee, Women in MICCAI (WI-MICCAI)
  • Program co-Chair Medical Image Computing and Computer Assisted Interventions (MICCAI) 2023
  • Program co-Chair, Data Science and Learning Workshop, IEEE Signal Processing Society, 2022
  • Steering Committee and Board, Information Processing in Computer Assisted Interventions, IPCAI 2020-
  • Associate Editor, IEEE Symposium on Biomedical Imaging (ISBI), 2021.
  • General Chair, Information Processing in Computer Assisted Interventions, IPCAI, 2017-2020
  • Program co-Chair, Data Science and Learning Workshop, IEEE Signal Processing Society, 2021
  • General Chair, Information Processing in Computer Assisted Interventions, IPCAI, 2017-2020
  • Sponsorships and Industry Relations Chair, MICCAI 2020