Mohsen Bayati is an accomplished associate professor at the Stanford Graduate School of Business, highly regarded for his expertise in big data, healthcare and algorithm design. With an educational background encompassing Ph.D. studies in Electrical Engineering and Mathematics at the prestigious Stanford University, as well as a Bachelor's degree in Mathematics from Sharif University of Technology, Mohsen is a respected authority in statistical models, personalized decision-making, and large-scale data analysis. His extensive experience has seen him work with major organizations such as Amazon, Microsoft, and IBM, where he held roles including Data Science Advisor, Postdoctoral Researcher, and Research Consultant, among others. Mohsen's passion for predictive analytics solutions using electronic medical records and web data has also helped him to develop a deep understanding of the healthcare sector, making him an invaluable resource for those seeking to leverage data-driven insights in this field.