Graduate School of Business
Showing 21-30 of 64 Results
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Mohsen Bayati
Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering and of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications. -
Sven Beiker
Lecturer
Current Research and Scholarly InterestsAutonomous, connected, electric, and shared mobility in terms of product roadmaps, market sizing, and corporate strategy. The primary questions describing my work are:
- When will autonomous vehicles come to the market?
- Is there a viable business model for connected vehicles?
- Is there an inflection point for electric vehicles?
- Will consumers only use shared mobility and not own anymore?
As impossible as it is to answer those questions, as possible it becomes in a specific context... -
Eric Bettinger
Conley DeAngelis Family Professor, Professor of Education, Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Economics at the Graduate School of Business
Current Research and Scholarly InterestsEric's research interests include economics of education; pathways into the labor market; development of socio-emotional skills; student success and completion in college; the impacts of online education; the impacts of financial aid; other determinants of student success in college; effects of voucher programs on both academic and non-academic outcomes. His research focuses on using rigorous statistical methods in identifying cause-and-effect relationships in higher education.
