Huiru Dong received her PhD in Population and Public Health from the University of British Columbia and holds an MS in Epidemiology from the University of Alberta. The overarching goal of her research is to improve health and social outcomes for people living with substance use disorders through rigorous data science methodologies. Prior to joining the lab, Dr. Dong was a senior statistician and investigator at the British Columbia Centre on Substance Use, where she spent the last eight years working on the development and implementation of novel statistical methods, investigation of the determinants of health and drug use outcomes, and evaluation of drug policies and services. Dr. Dong is currently working with Dr. Mohammad Jalali (“MJ”) on projects using machine learning models and system dynamics models to understand polysubstance use during the opioid crisis.
Selected Publications
Racial and Ethnic Disparities in Buprenorphine Treatment Duration in the US Journal Article
In: JAMA Psychiatry, vol. 80, iss. 1, pp. 93-95, 2023, ISSN: 2168-6238.
Long term pre-treatment opioid use trajectories in relation to opioid agonist therapy outcomes among people who use drugs in a Canadian setting Journal Article
In: Addictive Behaviors, vol. 112, pp. 106655, 2021, ().
Changes in substance use in relation to opioid agonist therapy among people who use drugs in a Canadian setting Journal Article
In: Drug and alcohol dependence, vol. 212, pp. 108005, 2020, ().
In: Addiction, vol. 114, no. 12, pp. 2173–2186, 2019, ().
Joint Trajectories of Heroin Use and Treatment Utilisation: Who Will Benefit in the Long Term? Journal Article
In: EClinicalMedicine, vol. 14, pp. 7–8, 2019, ().
Estimating the burden of recurrent events in the presence of competing risks: the method of mean cumulative count Journal Article
In: American journal of epidemiology, vol. 181, no. 7, pp. 532–540, 2015, ().