Faculty Member Profile
Mohsen SadatsafaviMD, PhD
Associate, Division of Respiratory Medicine, UBC Scientist, Centre for Clinical Epidemiology and Evaluation, UBC
New Investigator Award, Canadian Institutes of Health Research (CIHR), Sadatsafavi M (2015-2020)
Scholar Award, Michael Smith Foundation for Health Research (MSFHR), Sadatsafavi M, (2015-2020)
Bisby Fellowship Prize, Canadian Institutes of Health Research (CIHR). Sadatsafavi M (2009-2012)
Early Research Leaders Initiative (ERLI) Award, Sadatsafavi M, (2015-2018)
CFI (Canadian Foundation for Innovation) - PRogrammable Interface for Statistical & Simulation Models (PRISM). Sadatsafavi M (PI); $235,800; 2019 - 2022
CIHR - Development, validation, and dissemination of an individualized prediction tool for acute exacerbations of chronic obstructive pulmonary disease. Sadatsafavi M (PI); $199,200; 2017 - 2019.
CIHR - Respiratory Evaluation Sciences Program: Enabling evidence-informed decision making in respiratory medicine. Sadatsafavi M (PI); $300,000; 2016 - 2012 (also funded by MSFHR, $400,000)
I am an Associate Professor at Faculty of Pharmaceutical Sciences, UBC, at the same time holding affiliations with the Division of Respiratory Medicine, Department of Medicine, and the Centre for Clinical Epidemiology and Evaluation (both at UBC). I am the Principal Investigator of the Respiratory Evaluation Sciences Program (RESP, http://resp.core.ubc.ca). For my research related to the RESP program, I have received Canadian Institutes of Health Research’s New Investigator Salary Award and Michael Smith Foundation for Health Research’s Scholar Award.
My main area of interest is predictive analytics, both at the individual level (Clinical Prediction Modeling) and the population level (Policy making). My applied area of interest is chronic respiratory diseases, namely asthma and Chronic Obstructive Pulmonary Disease (COPD). In my lab, we use a variety of quantitative techniques to make such predictions possible, and rely heavily on data from clinical trials as well as 'real world' data such the population-based health data from BC Ministry of Health.