Decision Analysis in R for Technologies in Health
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Hawre Jalal, MD,PhD

School of Epidemiology and Public Health
Univerisity of Ottawa

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As a clinician and health economist, I am interested in optimizing public health resource allocation. My main research currently focuses on understanding the economic and social drivers of the drug and opioid epidemic in North America. I am also interested in population modeling of cancer to better inform surveillance, screening, treatment and prevention. My research involves analyzing large datasets and use of econometric methods and simulation modeling to guide decisions. In addition, I am actively engaged in advancing methods in health economic evaluations. I am a member of two active international collaborations involving the use of computationally intensive Open-Source solutions to increase transparency and reproducibility of health economic evaluations, the use of artificial intelligence (AI) for model calibrations, and promoting the use of value of information analyses for research prioritization and resource allocations: Decision Analysis in R for Technology and Health (DARTH), and the Collaborative Network for Value of Information (ConVOI).


## Education

  • 2008–2013
    University of Minnesota, Minneapolis, MN
    Ph.D. • Decision Analysis & Health Economics
  • 2006–2008
    University of Minnesota, Minneapolis, MN
    M.Sc. • Health Services Research
  • 1998–2023
    University of Suleimani — College of Medicine, Suleimani, Iraq
    M.B.Ch.B


Experience


Dr. Hawre Jalal is the Director of the DASH Labnorth_eastexternal link and holds a Canada Research Chair in Health Economicsnorth_eastexternal link. He joined the School of Epidemiology and Public Health in January 2022. He is a physician (2003) by practice and holds a Masters (2008) and a PhD (2013) in health economic evaluations and decision sciences from the University of Minnesota. After his PhD he completed a postdoctoral fellowship (2015) at Stanford University. He has been a faculty at University of Pittsburgh since 2015 prior to joining the University of Ottawa. His research uses quantitative methods to inform decision making under uncertainty, including health economic evaluations of medical treatments and public health policies and interventions.

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