Farzad Khalvati
Associate Professor, Senior Scientist
University of Toronto, The Hospital for Sick Children
Farzad Khalvati, MASc, PhD
Biography
Dr. Farzad Khalvati is a Senior Scientist and Endowed Chair in Medical Imaging and Artificial Intelligence at The Hospital for Sick Children and University of Toronto. He is an Associate Professor in the Department of Medical Imaging and Institute of Medical Science, with cross appointments to the Departments of Computer Science, and Mechanical and Industrial Engineering. He is also a Faculty Affiliate at the Vector Institute. Dr. Khalvati is the director of Intelligent Medical Informatics Computing Systems Lab (IMICS.ca) at SickKids where he leads the design, development, validation, and deployment of AI tools and algorithms for early diagnosis and prognosis, and individualized treatment planning of different diseases (e.g., brain tumors, liver fibrosis), using multi-modal data such as medical imaging and health informatics with the goal of delivering precision medicine and compassionate healthcare to patients. Interpretable, humancentered, and optimized AI for medicine, and AI for equitable access to healthcare are other aspects of his research program. Dr. Khalvati has published over 110 peer-reviewed publications in scientific journals and conference proceedings with additional 62 peer-reviewed abstracts presented in scientific conferences. Dr. Khalvati has received over $3.8M in peer-reviewed research funding and as the primary supervisor, he has supervised more than 70 trainees at different levels
Biography
Dr. Farzad Khalvati is a Senior Scientist and Endowed Chair in Medical Imaging and Artificial Intelligence at The Hospital for Sick Children and University of Toronto. He is an Associate Professor in the Department of Medical Imaging and Institute of Medical Science, with cross appointments to the Departments of Computer Science, and Mechanical and Industrial Engineering. He is also a Faculty Affiliate at the Vector Institute. Dr. Khalvati is the director of Intelligent Medical Informatics Computing Systems Lab (IMICS.ca) at SickKids where he leads the design, development, validation, and deployment of AI tools and algorithms for early diagnosis and prognosis, and individualized treatment planning of different diseases (e.g., brain tumors, liver fibrosis), using multi-modal data such as medical imaging and health informatics with the goal of delivering precision medicine and compassionate healthcare to patients. Interpretable, humancentered, and optimized AI for medicine, and AI for equitable access to healthcare are other aspects of his research program. Dr. Khalvati has published over 110 peer-reviewed publications in scientific journals and conference proceedings with additional 62 peer-reviewed abstracts presented in scientific conferences. Dr. Khalvati has received over $3.8M in peer-reviewed research funding and as the primary supervisor, he has supervised more than 70 trainees at different levels
