Ehsan Yaghmaei, BSc, MSc, PhD

JAD profile

Affiliation(s): 

Chapman University

ORCID URL: 

https://orcid.org/0000-0002-4164-4107

Areas of Interest: 

Statistics/Biostatistics, Causal Inference, machine learning, artificial intelligence

Biography & Research: 

Ehsan Yaghmaei, PhD, is a data scientist and biostatistician with extensive experience in statistical modeling and machine learning methods applied to health outcomes research. His scholarly contributions encompass various areas, including Alzheimer's disease management, emergency department utilization, cardiovascular health outcomes, and healthcare disparities. Dr. Yaghmaei’s research has been published in esteemed journals such as Communications Medicine, PLoS One, and the Journal of Orthopaedic Surgery and Research. His interdisciplinary approach utilizes advanced statistical techniques and causal inference methods to tackle complex clinical and public health challenges. Research Interests Dr. Yaghmaei’s research interests primarily focus on applying advanced statistical learning methods, causal inference techniques, and predictive modeling to enhance patient outcomes and healthcare efficiency. His notable contributions include examining the effects of pharmaceutical interventions on Alzheimer's disease, developing predictive models for emergency department revisits, and analyzing racial disparities in healthcare access and outcomes. Dr. Yaghmaei is particularly interested in leveraging big data analytics and machine learning to uncover actionable insights in healthcare, aiming to improve survival rates, optimize healthcare resource utilization, and address health disparities in underserved populations.