Mohsen Bayati

Mohsen Bayati is a prominent professor at Stanford University Graduate School of Business. Here are some key details about his background and work:

Academic Positions

Mohsen Bayati currently holds the following positions at Stanford University:

• The Carl and Marilynn Thoma Professor of Operations, Information & Technology at the Graduate School of Business
• Professor of Electrical Engineering (by courtesy) at the School of Engineering
• Professor of Radiation Oncology (by courtesy) at the School of Medicine
• Shanahan Family Faculty Fellow for 2024–20251

He has been a full professor at Stanford GSB since September 2022, after serving as an associate professor from 2015-2022 and an assistant professor from 2011-2015.2

Research Focus

Professor Bayati's research spans three main areas:

1. Applied machine learning in healthcare: Using data-driven learning and decision models to improve healthcare outcomes.
2. Graphical models and message-passing algorithms: Working on network models and methodologies inspired by statistical physics, with applications in statistical inference.
3. Mathematics of learning and decision-making: Developing mathematical models and algorithms for problems involving experimentation, learning, and personalized decision-making.12

Education

• Ph.D. in Electrical Engineering from Stanford University (2003-2007)
• M.Sc. and Ph.D. minor in Mathematics from Stanford University (2000-2003)
• B.Sc. in Mathematics from Sharif University of Technology (1997-2000)2

Awards and Honors

Professor Bayati has received several prestigious awards, including:

• PhD Faculty Distinguished Service Award, Stanford GSB (2024)
• National Science Foundation CAREER Award (2016)
• William Pierskalla Best Paper Award, INFORMS Health Applications Society (2014, 2016)
• Best Paper Award, INFORMS Applied Probability Society (2015)
• Gold Medal, International Mathematics Olympiad (1997)13

Teaching

At Stanford GSB, Professor Bayati teaches courses such as:

• Artificial Intelligence in Data-Driven Decision Making (Executive Education)
• Business Intelligence from Big Data (MBA Foundations)
• Data, Learning, and Decision-Making (PhD Research)2

Professor Bayati's work combines expertise in artificial intelligence, healthcare, and algorithms, with a focus on improving decision-making processes through data-driven approaches and mathematical modeling.