Research
Causal inference, real-world evidence, clinical outcomes, and study design—grounded in the question before the model.
Selected evidence →
Physician-scientist working across causal inference, health data science, institutional collaboration, and research technology. Assistant Professor at King Abdulaziz University.
Methods, institutions, and tools are not separate lanes. They are the infrastructure that lets serious research travel.
Causal inference, real-world evidence, clinical outcomes, and study design—grounded in the question before the model.
Selected evidence →Cross-border partnerships and collaboration architectures connecting academia, government, and industry.
Leadership record →Research software and evidence systems that make methodological expertise usable at the moment decisions are made.
Coefficients →A 24/7 AI methodology advisor. Paste an abstract, protocol, or study summary and receive a structured critique of bias, confounding, comparators, endpoints, and reporting gaps in under a minute.
Visual-first teaching for clinicians and researchers: concepts before procedures, real data before toy examples.
Causal inference, survival analysis, propensity scores, instrumental variables, and more.
Medical biostatistics, clinical trials, epidemiology, and research design.
Hands-on statistical concepts designed for medical students who think visually.
Research collaborations, institutional strategy, evidence systems, and serious methodological work.