

Mohsen Bayati
Professor Mohsen Bayati is an esteemed scholar focusing on interdisciplinary studies in Operations, Information, and Technology at Stanford University Graduate School of Business. With a robust academic background, he earned his Bachelor of Science in Mathematics from Sharif University of Technology, followed by a Doctor of Philosophy in Electrical Engineering from Stanford University in 2007. His academic journey has been marked by a deep commitment to exploring the intersections of mathematics, technology, and healthcare. Professor Bayati's research interests are diverse and impactful, encompassing applied machine learning in healthcare, graphical models, and message-passing algorithms, as well as the mathematics of learning and decision-making. His work in these areas seeks to advance the understanding and application of complex mathematical models to real-world problems, particularly in the healthcare sector. By leveraging his expertise, he aims to contribute to the development of innovative solutions that enhance decision-making processes and improve healthcare outcomes. Throughout his career, Professor Bayati has been recognized for his significant contributions to the field. He has received several prestigious awards, including the INFORMS Healthcare Applications Society best paper award in 2014 and the INFORMS Applied Probability Society best paper award in 2015. These accolades underscore his dedication to advancing research that bridges theoretical insights with practical applications. In addition to his research achievements, Professor Bayati has been honored with the National Science Foundation CAREER award, a testament to his potential as a leading researcher and educator. This award highlights his commitment to fostering a deeper understanding of complex systems and his ability to inspire the next generation of scholars and practitioners. At Stanford University, Professor Bayati is not only a dedicated researcher but also a passionate educator. He is committed to mentoring students and guiding them in their academic and professional pursuits. His teaching philosophy emphasizes the importance of critical thinking, interdisciplinary collaboration, and the application of theoretical knowledge to solve real-world challenges. Professor Bayati's work continues to push the boundaries of what is possible in the fields of operations, information, and technology. His contributions are shaping the future of healthcare and decision-making, making a lasting impact on both academia and industry. As he continues to explore new frontiers in his research, he remains a pivotal figure in the academic community, inspiring others with his innovative approach and unwavering dedication to excellence.