Research


Research position

Centre for Advancing Health Outcomes, Vancouver, Canada

Key responsibility: Providing methodological expertise across a broad range of subject areas in the planning stage of research projects and performing in-depth statistical analysis of health outcomes from observational studies, administrative databases, and clinical trials.

School of Population and Public Health, University of British Columbia, Vancouver, Canada

Key responsibility: Developing and evaluating methods for improving causal inference in the analysis of pragmatic clinical trial data and linked health administrative data.

BRAC James P Grant School of Public Health, BRAC University, Bangladesh

Key responsibility: Preparing research tools and analyzing data by using appropriate statistical techniques.

Research and Evaluation Division, BRAC, Bangladesh

Key responsibility: Preparing research tools and analyzing data by using appropriate statistical techniques


Research interests

My research interests include biostatistics and epidemiology, focusing on causal inference from observational studies, integrating machine learning approaches within the causal inference framework, medication non-adherence, machine learning approaches in risk score prediction from a large healthcare database, complex surveys, and applying/adapting these innovative and emerging techniques in real-life epidemiological data analysis. 


Doctoral research

My doctoral research was primarily focused on risk prediction modelling, causal inference with and without time-dependent exposure, unmeasured confounding, immortal time bias, causal mediation analysis, and medication non-adherence. For that, I used linked health administrative databases of a cohort of immigrants to British Columbia, Canada, between 1985 and 2019. 


Current research