Dr Maja Radojčić, MPharm, MSc, DSc, PhD
Postdoctoral research associate in pharmacoepidemiology
Email: m.radojcic@qmul.ac.uk
Profile
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I am a clinical epidemiologist working in pharmacology and neuroscience, with a research focus on mental and physical health across the life course. My interdisciplinary background spans laboratory science, industry research, and academic clinical epidemiology, and has shaped my approach to studying health from molecular mechanisms and biomarker discovery through to large-scale population studies and causal inference. I currently work with the QResearch database to investigate medication use in pregnancy, aiming to strengthen the evidence base that informs clinical practice, public health guidance, and policy for vulnerable populations, particularly women and children. Across my research, I use advanced quantitative methods to address health inequalities and questions in personalised medicine, including heterogeneity of treatment effects, risk prediction, and multimorbidity. I am an active collaborator within international research networks, and welcome collaborations that seek to translate robust epidemiological evidence into meaningful clinical and public health impact. |
Research
Research Interests:
- Medication safety in pregnancy and early life, using large-scale electronic health records and observational cohort studies to investigate prescribing patterns, treatment effectiveness, and maternal and child health outcomes.
- Mental and physical health comorbidity across the life course, with a focus on vulnerable populations and pathways linking pain, metabolic and mental health.
- Health inequalities and population subgroups, examining social, clinical, and biological determinants of unequal exposures, treatment access, and outcomes.
- Causal inference and advanced quantitative methods for observational research, including emulation of target trials and personalised medicine.
- Molecular epidemiology, connecting mechanistic research with population studies to inform precision and treatment strategies.
- Policy-relevant public health research, generating evidence to inform safe prescribing guidance, maternal and child health policy, global and regional evidence on disease burden and risk factors.
Supervision
I welcome enquiries from prospective MSc and PhD students and trainees interested in pharmaco-epidemiology, mental and physical health comorbidity, health inequalities, vulnerable groups, and causal inference.