Speakers:
Peter Jüni, MD, FESC, Scientific Director, Ontario COVID-19 Science Table
Director of the Applied Health Research Centre (AHRC) at the Li Ka Shing Knowledge Institute of St. Michael’s Hospital.
Internationally renowned for his clinical research on the management of cardiovascular and musculoskeletal disorders, Peter has played leading roles in major cardiovascular trials and served on task forces of the European Society of Cardiology. Peter holds a Canada Research Chair in Clinical Epidemiology of Chronic Diseases, and is a Professor at the Department of Medicine and the Institute of Health Policy, Management and Evaluation at the University of Toronto.
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Sharmistha Mishra, MD, MSc, PhD, Member, Ontario COVID-19 Modelling Consensus Table
Assistant Professor, Institute of Health Policy, Management and Evaluation University of Toronto & Research Scientist, St. Michael’s Hospital.
Sharmistha’s research focuses on modelling disease transmission and adapting public health strategies to meet the needs of populations at differential risks. She has worked in Sierra Leone during an Ebola outbreak and, during the current pandemic, is modelling the spread of SARS-CoV-2 with a focus on examining and evaluating population- and place-specific interventions. Sharmistha holds a Canada Research Chair in Mathematical Modelling and Program Science.
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V. Kumar Murty is the Director of the Fields Institute for Research in Mathematical Sciences
Professor Murty’s recent work has expanded to mathematical modelling in social, economic and health contexts. This includes his work on Smart Villages and on integrative modelling related to the COVID-19 pandemic. He heads the CIHR funded Mathematical Modelling of COVID-19 Task Force to undertake research relating to COVID-19. The task force brings together Canadian mathematics institutes, national and international co-investigators, collaborators and team members, to mobilize a network of infectious disease modellers to assess transmission risk, predict outbreak trajectories and evaluate the effectiveness of COVID-19 countermeasures.
