Mohsen Bayati is a Professor of Operations, Information & Technology at Stanford University and a leading researcher at the intersection of machine learning, healthcare, and data-driven decision systems. His work focuses on developing advanced AI and statistical methods to improve healthcare delivery, including predictive modeling for patient outcomes, optimization of clinical workflows, and large-scale analysis of medical data. At Stanford, he is also affiliated with initiatives that bridge engineering, medicine, and policy to translate computational advances into real-world healthcare impact.
Professor Bayati’s research has been widely published in top journals and has directly influenced how healthcare systems leverage data for decision-making. His work spans applications such as early disease detection, hospital resource optimization, and personalized treatment strategies. Through collaborations with clinicians, policymakers, and industry leaders, he continues to push forward the integration of AI into healthcare systems—emphasizing not only methodological innovation, but also practical deployment at scale.
