Hawre Jalal* MD PhD (he/him)


Hawre Jalal* MD PhD (he/him)
Associate Professor

Room: 600 Peter Morand (Alta Vista), Room 101C
Office: 613-562-5800 ext. 8290
Work E-mail: hjalal@uottawa.ca

Hawre Jalal


Dr. Hawre Jalal 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.

Publication list: https://www.ncbi.nlm.nih.gov/myncbi/hawre.jalal.1/bibliography/public/

1. Population modeling of bladder cancer control and prevention: Dr Jalal leads a team to evaluate bladder cancer prevention and treatment strategies at the population level.  His work involves building a simulation model to evaluate the impact of various policies on bladder cancer incidence and prognosis. This work has been funded by the National Cancer Institute in the US.

2. Health economic evaluations of pain management strategies.  Dr. Jalal leads the health economic evaluation of two novel strategies for controlling pain and preventing dependence on opioids or pain killers. This work has been supported by the National Institute on Drug Abuse. 

3. Dr. Jalal is also a member of two international collaborative efforts: The Decision Analysis in R for Technologies in Health (DARTH) https://darthworkgroup.com and the Collaborative Network for Value of Information (ConVOI) https://www.convoi-group.org. DARTH’s goal is to increase transparency and reproducibility of health economic evaluations through Open Source software initiatives, and ConVOI aims at reducing the computational and conceptual difficulties of conducting value of information analyses (VOI) to inform research prioritization and resource allocation decisions.

Fields of Interest

  • Opioid and Drug Abuse
  • Bladder Cancer
  • Health Economic Evaluation
  • Cost-Effectiveness Analysis
  • Decision Sciences Methods (Value of Information Analysis and Calibration)
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