I am an epidemiologist and health data scientist with expertise in using routinely collected health data for causal inference.
I completed my PhD and MSc in epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), and my BSc in pharmacology and economics at McGill University in Montréal, Canada.
Prior to joining the LSHTM, I worked at McGill Global Health Programs and the Population Health Research Institute (PHRI) in Hamilton, Canada. I continue to collaborate with researchers at PHRI.
Affiliations
Teaching
I am a module organiser and lecturer for the Analysis of Electronic Health Records module (open to MSc Health Data Science, Epidemiology, and Public Health students).
I also teach on the following MSc modules and short courses:
- Health Services
- Extended Epidemiology
- Advanced Research Methods in Epidemiology
- Statistical Methods in Epidemiology
- Epidemiology in Practice
- Professional Certificate in Pharmacoepidemiology & Pharmacovigilance
I supervise PhD and MSc students (Epidemiology, Medical Statistics, Health Data Science, and Public Health) in subjects related to health services research and causal inference using electronic health records.
I also co-lead and supervise for the Health Data Research (HDR)-UK Black Internship Programme at LSHTM, which aims to reduce the underrepresentation of Black people within the health data science sector.
Research
My research focuses on using electronic health record data to study the comparative clinical and cost-effectiveness of treatments for non-communicable diseases.
I am a member of the Electronic Health Records research group at the LSHTM and collaborate on many projects with my teammates. I work across faculties at the LSHTM (Epidemiology & Population Health (EPH) and Public Health & Policy (PHP)), as well as with an international group of epidemiologists, statisticians, health economisits, clinicians, and patients.
I am involved in several observational studies applying instrumental variable analyses to estimate causal treatment effects. These studies mainly use routinely collected health data from the UK, including primary care data (e.g., Clinical Practice Research Datalink), secondary care data (e.g., Hospital Episode Statistics), and clinical audit data (e.g., National Vascular Registry).
I am also involved in projects using electronic health records and other routine data in Thailand, Denmark, and Sweden.
I have worked on several projects during my time at the LSHTM related to health services and pharmacoepidemiology focused on the intersection between type 2 diabetes, cardiovascular, and kidney disease. These projects include: