Graduate School of Business
Showing 1-50 of 72 Results
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Henry Bair
MD Student with Scholarly Concentration in Biomedical Ethics & Medical Humanities, expected graduation Spring 2023
MBA, expected graduation 2023BioHenry Bair is an MD/MBA candidate and Knight-Hennessy Scholar at Stanford University. His primary research interest is in the application of innovative technologies to deliver efficient, affordable, and accessible patient-centered vision and health care, both at a systems level and at the point of care. While at Stanford, he has worked on establishing telehealth networks for eye care across rural regions of Taiwan and on developing diagnostic and surgical devices for treating orbital trauma. Through his clinical interest in ophthalmology, he explores vision impairment as a manifestation of chronic diseases and how this affects an individual's quality of life. He has also served as medical school representative to Stanford University's Committee on Research and currently leads courses in healthcare leadership, patient communication strategies around serious illness, and surgical techniques in ophthalmology.
In addition, he is passionate about improving the patient-provider relationship through cultural competency, reflective practice, and humanistic medicine. His writings on narrative medicine have appeared in the Journal of the American Medical Association, JAMA Oncology, Academic Medicine, and the Journal of Palliative Medicine, among other publications. He previously graduated from Rice University in 2017 with a BS in Biochemistry and Cell Biology, and a BA in Medieval and Early Modern Studies. -
Mohsen Bayati
Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
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, Graduate School of Business - Academic Administration
BioSven Beiker is a Lecturer in Management at the GSB, and the Managing Director of Silicon Valley Mobility, an independent consulting & advisory firm. He covers the electrification, automation, connectivity, and sharing of automobiles through the lens of new technologies and business models. This is reflected in his teaching at the GSB as well as in his professional engagements. Prior to his independent consulting work, he served as an Expert Consultant for mobility topics at McKinsey & Company for 2.5 years.
Dr. Beiker is also the former Executive Director of the Center for Automotive Research at Stanford, an industry affiliates program that he launched in 2008 together with Stanford Professors Gerdes, Nass, and Thrun. Before coming to Stanford, Dr. Beiker worked at the BMW Group for more than 13 years. Between 1995 and 2008 he pursued responsibilities in technology scouting, innovation management, systems design, and series development. He primarily applied his expertise to chassis and powertrain projects, which also provided him with profound insights into the industry’s processes and best practices. In addition, he worked in three major automotive and technology locations: Germany, Silicon Valley, and Detroit.
Dr. Beiker received his MS (1995) and PhD (1999) degrees in Mechanical Engineering from the Technical University in Braunschweig, Germany. He published various technical papers and holds several patents in the fields of vehicle dynamics and powertrain technology. -
Michael Beshay
Graduate, Business, Graduate School of Business
BioPredoctoral Research Fellow, King Center on Global Development
Primary research interests: political economy, development economics, and economics of human capital. -
Eric Bettinger
Conley DeAngelis Family Professor, Professor of Education, Senior Fellow at the Stanford Institute for Economic Policy Research, Professor, by courtesy, of Economics at the GSB and Senior Fellow, by courtesy, at the Hoover Institution
Current Research and Scholarly InterestsBettinger, Eric and Bridget Long. “Simplification and Incentives: A Randomized Experiment to Increase College Savings."
Antonio, Anthony, Eric Bettinger, Brent Evans, Jesse Foster, and Rie Kijima. “The Effect of High School College Advisement: Evidence from a Randomized Evaluation in Texas.”
Bettinger, Eric, Michael Kremer, Maurice Kugler, and Juan Saavedra. “The Effect of Educational Vouchers in Colombia on Students’ Labor Market Outcomes.”
Bettinger, Eric, Oded Gurantz, Laura Kawano, and Bruce Sacerdote. "The Long-run Impacts of Merit Aid: Evidence from California's Cal-Grant."
Bettinger, Eric, Lindsay Fox, Susanna Loeb, and Eric Taylor, “Changing Distributions: How Online College Classes Alter Student and Professor Performance.”
