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Mohsen Bayati
Professor at Stanford Graduate School of Business
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:
- Applied machine learning in healthcare: Using data-driven learning and decision models to improve healthcare outcomes.
- Graphical models and message-passing algorithms: Working on network models and methodologies inspired by statistical physics, with applications in statistical inference.
- 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.
Highlights
We had the privilege of hosting Dr. Gaurav Kataria from Trello in our "Business Intelligence from Big Data" class last week. His lecture provided deep insights into the critical role of human incentives in the design of AI products, involving a human-in-the-loop.
