Jazer Research Lab is an independent, science-driven research platform working across computational pharmaceutical sciences and public health. The lab applies in silico methods, artificial intelligence, machine learning, QSAR, molecular modelling, systems-level analysis, and data-driven approaches to investigate problems in drug discovery, natural products, toxicology, environmental and lifestyle-related health risks, and population health.

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Our research increasingly extends beyond conventional drug-discovery questions to computational studies with direct public-health relevance, including traditional product safety, exposure-related health risks, regulatory hazard prioritization, and evidence-based health assessment. We aim to generate scientifically rigorous and locally relevant evidence that can support research, public-health decision-making, and future policy development.

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Jazer Research Lab also engages in collaborative and interdisciplinary research, integrating computational methods with available experimental, chemical, epidemiological, and literature-derived data to address practical health problems where conventional data collection may be limited or resource-intensive.