Graduate School of Business
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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 healthcare, 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
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering and of Radiation Oncology
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.
