International Day Of Women in Statistics and Data Science

Dr. Sima Sharghi is a Senior Statistician and researcher with expertise in causal inference, Bayesian statistics, real-world evidence, electronic health record analytics, and predictive modeling in healthcare. She holds a PhD in Statistics and has extensive experience collaborating with multidisciplinary clinical and research teams on observational studies, longitudinal data analysis, simulation methods, and machine learning applications in medicine.
Her work focuses on improving the rigor and interpretability of healthcare analytics through thoughtful study design, bias-aware statistical approaches, and the integration of Bayesian and causal inference methodologies in real-world clinical research. She has contributed to research involving pediatric health outcomes, social determinants of health, clinical prediction models, and methodological challenges associated with large healthcare datasets. She is passionate about advancing transparent and responsible data science in Medicine.