Stanford University
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Irogue I Igbinosa
Assistant Professor of Obstetrics and Gynecology (Maternal Fetal Medicine & Obstretrics)
BioIrogue Igbinosa, MD, MS, is a Maternal-Fetal Medicine physician at Stanford University. Her research focus includes iron deficiency anemia in pregnancy, severe maternal morbidity and mortality, and health equity. She is a NIH Women's Reproductive Health Scholar (K12) and recently, she was also recognized as the Duan Family Faculty Scholar in Maternal-Fetal Medicine.
She graduated from the University of Houston and earned her medical degree at Baylor College of Medicine. She subsequently completed her residency in Obstetrics and Gynecology Residency at Louisiana State University School of Medicine Baton Rouge. After residency, she was an AAMC-CDC Public Health Policy Fellow able to serve in the CDC Emergency Operations Center and contribute to research for healthcare providers regarding the management of the Zika virus in pregnant persons. She completed her Maternal Fetal Medicine fellowship at Stanford in 2022.
Dr. Igbinosa is passionate about community-engaged approaches to bridge gaps in evidence-based care for birthing communities and collaborates with local and national policy committees to raise awareness for reproductive justice in maternal health. In 2023, 2he was awarded the inaugural Maternal Health Implementation Science Physician Research Scholar with AMETHIST @Penn (Achieving Maternal Empowerment and Transforming Health at University of Pennsylvania) and applies to the principles learned to many aspects of her ongoing research. Her current research endeavors include co-investigator for Stanford's PHRISM: preventing inequities in hemorrhage related severe maternal morbidity, primary investigator for NOURISH - prenatal nutrition education for community health workers and doulas, as well as several hospital quality initiative efforts to improve the screening, management, and treatment of iron deficiency anemia in pregnancy. Her motto is to listen first and serve with compassion. -
Donald Iglehart
Professor of Engineering-Economic Systems & Operations Research, Emeritus
BioDonald L. Iglehart is a John von Neumann Theory Prize recipient who has made fundamental contributions to performance analysis, optimization, and simulation of stochastic systems. Iglehart received his Bachelor’s degree in Engineering Physics from Cornell in 1956, his Master’s degree in Mathematical Statistics from Stanford University in 1959, and his PhD in the same subject from Stanford in 1961. His dissertation was supervised by Herbert E. Scarf and Samuel Karlin, and the topic was on dynamic programming and stationary analysis of inventory problems. He taught at Cornell University from 1961 to 1967 and came to Stanford in 1967, where he has been emeritus since 1999. In1976, he spent a very productive year as an Overseas Fellow at Churchill College at Cambridge University. In his capacity as a PhD advisor, he has had many notable students, including Peter Glynn, Peter Haas, Phil Heidelberger, Doug Kennedy, and Ward Whitt.
Iglehart was jointly awarded the John von Neumann Theory Prize in 2002 with Cyrus Derman, the same year he was named an inaugural Fellow of the Institute for Operations Research and the Management Sciences. He was recognized for having pioneered and developed diffusion limits and approximations for heavily congested stochastic systems. His ideas provided tractable limiting processes and readily computable approximations for complex queueing and other stochastic systems for which closed-form solutions have proved intractable. Iglehart’s original research and contributions have heavily influenced queueing theory in the years since their publication, and his papers have been cited in hundreds of publications. Some of his other work has focused on inventory and distribution problems.
Iglehart was also honored by the INFORMS Simulation Society in 2012 with its highest honor, the Lifetime Professional Achievement Award (LPAA). His foundational work in that field recognized and exploited the underlying stochastic structure of simulation as a means of producing enhanced simulation methodologies. For example, he introduced and led the development of the regenerative method for stochastic simulation output analysis, inspiring a flood of significant contributions to simulation methodology. In the late 1980s, Iglehart and Glynn incorporated such techniques as importance sampling into stochastic simulations. The LPAA also noted his ability to clearly organize and articulate deep theory in his presentations and writing, and recognized his education of Ph.D. students who have had, individually and cumulatively, a profound impact on simulation education and research. The citation for his award states that "It is no exaggeration to say that Don Iglehart’s contributions made simulation a respectable research discipline in some circles of the operations research community."
In addition to being an INFORMS Fellow, Iglehart was elected in 1999 to the National Academy of Engineering, having been selected for his contributions to queueing theory, simulation methodology, inventory control, and diffusion approximations. He was also honored in 1971 through his induction as a Fellow of the Institute of Mathematical Statistics.
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Historical Academic Appointments:
1961-67 School of Operations Research and Industrial Engineering, Cornell University
1967-96 Department of Operations Research, Stanford University
1996-99 Department of Engineering-Economic Systems and Operations Research, Stanford University -
Manuel Iglesias Soilán
Overseas Studies - Madrid, Bing Overseas Studies
BioManuel Iglesias Soilán holds a degree in psychology and a master's in educational psychology from the Complutense University of Madrid (UCM), where he completed his PhD with co-supervision from Harvard University. He strengthened his expertise in university teaching, learning, and management through training at the University of Buenos Aires and Harvard Business School Publishing. He began his career at UCM's University Guidance Service, later receiving a predoctoral fellowship jointly awarded by UCM and the Real Colegio Complutense (RCC) at Harvard University. He is currently an Assistant Professor of Psychology at the Complutense University of Madrid (UCM), an Instructor at Harvard University’s Division of Continuing Education, and a Visiting Lecturer at Stanford University’s BOSP-Madrid. His research focuses on university teaching and learning, with collaborations in the United States, Spain, and Latin America (including research stays at Harvard, Stanford and the Universidad Tecnológica Privada de Santa Cruz [UTEPSA]). Soilán also serves as Visiting Fellow of the Instructional Moves project at the Harvard Graduate School of Education and co-chairs the University Teaching and Learning in the Twenty-first Century study group at the RCC at Harvard University. He co-directs a service-learning project and leads a team in the Advanced Research Training Seminars (ARTS) program of the International Association of Applied Psychology. Beyond academia, he founded TEDxUCM. He received FEVOCAM's Te Atreves award and was selected as one of Banco Santander's 60 Young Leaders for Education, selected from 30,000 applicants worldwide.
