Stanford University
Showing 13,001-13,100 of 34,428 Results
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Joo Ha Hwang, MD, PhD
Fortinet Founders School of Medicine Professor and Professor, by courtesy, of Surgery
Current Research and Scholarly InterestsSpecialize in early detection of gastrointestinal malignancies including esophageal, gastric, pancreatic, bile duct & colon cancers. I have both a clinical & research interest in improving the early detection of gastric cancer in particular. I am the PI of the Gastric Precancerous conditions Study, a prospective study of patients with gastric intestinal metaplasia & other precancerous conditions which combines comprehensive clinical & endoscopic data with a large bio-specimen repository.
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Peter H. Hwang, MD
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Neurosurgery
Current Research and Scholarly Interests- Clinical outcomes in patients with chronic rhinosinusitis undergoing endoscopic sinus surgery
- Development of innovative medical devices for treatment of sinus disorders
- Founder of CORSICA, a national research registry for sinus cancer -
Alison Hwong
Assistant Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
BioMy research focuses on improving health outcomes for people with mental illness, including: physical health and premature mortality for people with serious mental illness, aging and living with psychosis, social determinants of mental health, and the mental health effects of climate change.
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Kelly Hyles
MD Student with Scholarly Concentration in Community Health / Surgery, expected graduation Spring 2027
BioKelly is a first-year medical student. She graduated from Harvard College with a B.A. in Human Developmental and Regenerative Biology. Post-graduation, she completed a public service fellowship with 5G Dialysis Centre and the Ministry of Health, working to improve the accessibility and affordability of dialysis in Guyana. Kelly is interested in increasing health equity for underserved communities, both locally and abroad.
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Patrick Hynes
Associate Director of Research Communities, Institute for Human-Centered Artificial Intelligence (HAI)
Current Role at StanfordSenior Manager of Research Communities at Stanford HAI
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Gianluca Iaccarino
Robert Bosch Chair of the Department of Mechanical Engineering and Joseph L. and Roberta M. Rodgers Professor
Current Research and Scholarly InterestsComputing and data for energy, health and engineering
Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.
Multidisciplinary Teaching
I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results. -
Andrei Iagaru
Professor of Radiology (Nuclear Medicine)
Current Research and Scholarly InterestsCurrent research projects include:
1) PET/MRI and PET/CT for Early Cancer Detection
2) Targeted Radionuclide Therapy
3) Clinical Translation of Novel PET Radiopharmaceuticals; -
Dan Iancu
Professor of Operations, Information and Technology at the Graduate School of Business
BioDan A. Iancu is a Professor of Operations, Information, and Technology and the Srivani Faculty Fellow at the Stanford Graduate School of Business, and the Peiros Family Faculty Fellow at the Stanford King Center on Global Development. His work examines how individuals and organizations can use analytics, optimization, and AI to make better decisions under uncertainty.
His research has two connected threads. One develops optimization and AI-enabled approaches for decision-making under uncertainty; the other applies these tools, together with economic modeling and empirical analysis, to problems in global supply chains, sustainable operations, finance, healthcare, and public policy. Across both threads, he is interested in improving efficiency and resilience while advancing fairness and broader social and environmental goals. His work has appeared in leading journals in operations research and management science and has received best-paper awards from several INFORMS societies. He serves on several editorial boards, including as Area Editor for Optimization at Operations Research and as an Associate Editor at Management Science.
His teaching spans doctoral, MBA, and executive programs, with courses on analytics, optimization, responsible AI, value chain management, and resilient and sustainable supply chains.
Before joining Stanford, he was a Goldstine Fellow at IBM T.J. Watson Research Center. He holds degrees from Yale, Harvard, and MIT. -
Assel Ibadulla
Ph.D. Student in Health Policy, admitted Autumn 2025
BioAssel Ibadulla is a PhD student in Health Policy, specializing in Decision Sciences, and a Knight-Hennessy Scholar. She graduated with honors in Biological Sciences from Nazarbayev University and earned a Master of Public Health in Health Policy from Yale University as a Horstmann Scholar. Assel aims to leverage decision sciences to support policymakers in making cost-effective and equitable health decisions, with a focus on strengthening health systems in low- and middle-income countries.
Previously, Assel worked at Yale’s Equity Research and Innovation Center, where she focused on healthcare equity for ethnic minorities, and at the Harvard Health Systems Innovation Lab, where she contributed to research on transitioning to high-value health systems, and additionally, assisted with WHO global health projects.
She also placed in the top 10 at the Asian Universities Alliance Social Entrepreneurship Competition at Tsinghua University for her mental health app, Mind Matters. -
Andrea J Ibarra
Instructor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ibarra is a board-certified anesthesiologist with a focused research interest in preeclampsia and brain health. She completed her anesthesiology training at the University of Pittsburgh in 2019. Committed to bridging clinical excellence with rigorous scientific inquiry, Dr. Ibarra earned a master's degree in clinical research at Pitt. In 2023, her research promise was recognized with the prestigious SOAP-FAER Mentored Research Training Grant, which investigated the long-term neurological implications of preeclampsia. Her research portfolio centers on the intersection of anesthesia, women's health outcomes, and cognitive function, contributing to the growing body of evidence in perioperative neuroscience.
Outside of her clinical and academic pursuits, Dr. Ibarra is passionate about cooking and travel, drawing inspiration from diverse cultures around the world. -
Stephanie Ibe
Research Program Coordinator NOURISH - Casual, Medicine - Primary Care and Population Health
Current Role at StanfordResearch Program Coordinator - NOURISH
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David Iberri
Clinical Associate Professor, Medicine - Hematology
BioDr. Iberri is a hematologist who specializes in the treatment of multiple myeloma, Waldenström macroglobulinemia, and other blood and bone marrow disorders. He is actively involved in clinical research evaluating novel agents in hematologic malignancies. His research interests include the development and application of biomarkers to select patients most likely to benefit from therapy, and in the development of blood tests to reduce the need for bone marrow biopsies in myeloma disease monitoring.
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Hirotaka Ieki
Postdoctoral Scholar, Cardiovascular Medicine
BioI am an MD, PhD physician-scientist aiming to advance precision medicine for cardiovascular disease through research in genomics and artificial intelligence.
MD, The University of Tokyo, Tokyo, 2013
Residency in Internal Medicine, National Center for Global Health and Medicine, Tokyo, 2013-2017
Residency in Cardiology, Sakakibara Heart Institute, Tokyo, 2015–2017
PhD, The University of Tokyo, Tokyo, 2021
Clinical Fellow in Cardiology, The University of Tokyo Hospital, Tokyo, 2021–2022
Postdoctoral Scholar, Stanford University, 2023–present
Research interest: Precision medicine in cardiovascular disease. Genomics, Artificial Intelligence -
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.
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Matthias Ihme
Professor of Mechanical Engineering, of Photon Science and, by courtesy, of Energy Science and Engineering
BioLarge-eddy simulation and modeling of turbulent reacting flows, non-premixed flame, aeroacoustics and combustion generated noise, turbulence and fluid dynamics, numerical methods and high-order schemes.
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Debra M. Ikeda, M.D.
Professor of Radiology (Breast Imaging), Emerita
Current Research and Scholarly InterestsMy research interests are mammography positioning, tomosynthesis (DBT) cancer detection and diagnosis, MRI, DWI, MRI-guided breast biopsy, breast cancer recurrence, tattoo/ fiducial/wire localization of axillary lymph nodes, breast cancer and FDG PET-CT imaging, artifical intelligence/deep learning, breast density, density notification legislation, abscess drainages, mammography positioning
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Gentaro Ikeda
Instructor, Medicine - Cardiovascular Medicine
BioDr. Ikeda is a physician-scientist who develops innovative diagnostic and therapeutic modalities for patients with cardiovascular disease. Based on his clinical experience as a cardiologist, he has become aware of major clinical shortcomings, specifically in the current pharmaceutical therapies for myocardial infarction (MI) and chronic heart failure (HF). Some evidence-based drug therapies, including β-blockers, ivabradine, and renin-angiotensin-aldosterone antagonists are difficult to apply to critical patients due to adverse side effects. Drugs that have shown efficacy in basic animal experiments have failed to show significant benefits in clinical trials. To address these problems, he moved to academia to conduct translational research. During his graduate training in the Egashira Lab, he focused on drug delivery systems (DDS) that target mitochondria in animal models of MI. He obtained advanced skills in molecular biology, mitochondrial bioenergetics, and animal surgery. He realized the importance of translational research and the great potential of DDS to overcome many clinical problems. He developed nanoparticle-mediated DDS containing cyclosporine for the treatment of patients with MI. He published a first-author paper and received academic awards for his novel science. Since becoming a postdoctoral fellow in the Yang Lab, he has continued to build upon his previous training in translational research. He is currently developing an innovative therapy, namely, extracellular vesicles-mediated mitochondrial transfer for mitochondria-related diseases such as heart failure and mitochondrial disease.
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Fumiaki Ikeno
Program Director (U.S) Japan Biodesign, Stanford Biodesign, Medicine - Med/Cardiovascular Medicine
BioProgram Director (U.S) Japan Biodesign, Stanford Biodesign
Researcher Cardiovascular Medicine, Stanford University
Faculty of Japan Reach, CARE (Center for Asian Health Research and Education) , Stanford University
Co-Director of Asia, SPARK Global, Stanford SPARK , Stanford University
Dr. Ikeno is a Researcher, Cardiovascular Medicine, Stanford University. In this role, he is responsible for pre clinical studies including GLP for medical devices and also regenerative medicines for cardiovascular diseases. Currently, he is devoting himself to the international regulatory project between Japan and the United States, also known as "Harmonization by Doing", whose focus is to collaborate with regulatory agencies such as FDA, PMDA/MHLW, academia and industries for improving the regulatory process in the 2 largest medtech markets. Dr. Ikeno also devoted himself to found Japan biodesign program which is a collaborative program with University of Tokyo, Osaka University, Tohoku University, Japan Federation Medical Device Association, Ministry of Education Japan and Stanford biodesign program. Currently, Dr. Ikeno serves as the Program Director (US) for Japan Biodesign. Dr. Ikeno is co-founder and board member of US-Japan MedTech Frontier which is a non-profit cooperate to make a trans-pacific eco-system of medical device between Japan and USA.
After 9 years clinical practice as an interventional cardiologist and Family Doctor in rural areas of Japan, Dr. Ikeno came to Stanford as a Researcher and completed his Biodesign Certificate Program. Being part of the ecosystem in Silicon Valley, Dr. Ikeno participated in more than 200 medtech projects and 50 GLP studies as well as in the analysis of clinical trials for cardiovascular medicine (BARI2D, FAME, ReOPEN etc). His other academic consortium projects include Peripheral Academic Research Consortium, Global Consensus Working Group of Optical Coherence Tomography, and Japan-US consensus document for the treatment of critical limb ischemia.
Over the last decade, Dr. Ikeno has served as an advisor for medical device industries and currently serves as a chief medical officer of an incubation fund specific for medtech (Medventure Partners, Inc, Tokyo) as a spin-off from Innovation Network Corporation of Japan (INCJ) that is the largest government and private partnership fund in Japan. He is also serving as a chair of cardiovascular working group of APAN (Asian Pacific Advanced Network) that contributes the remote education, research activities, and tele-health using a specialized internet network. Dr.Ikeno is also serving as consulting faculty/lecturer roles in several universities in Japan including University of Tokyo, Osaka University, Tsukuba University etc. Dr. Ikeno has authored over 70 peer reviewed publications and textbooks and has been invited to lecture at international medical conferences. Dr. Ikeno is a council member of U.S.- Japan Council which is a non-profit organization by Japanese American. He is serving as a mentor for START-X MED which is an accelerating program for Stanford related entrepreneurs in medical fields.
Contact Information
Falk CVRC CV007
300 Pasteur Drive
Palo Alto, CA 94305-5406 -
Theresa Iker
Lecturer, History Department
BioTheresa Iker specializes in modern American politics, gender, and culture. She received her Ph.D. in History and minor in Feminist, Gender, and Sexuality Studies (FGSS) from Stanford University in 2023, where she now serves as the Choi-Lam H&S Lecturer in Undergraduate Teaching. She offers courses in the Department of History and the Stanford Introductory Studies Program.
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Jennifer Ikle
Adjunct Clinical Assistant Professor, Pediatrics - Endocrinology
Current Research and Scholarly InterestsJen is interested in the genetic factors that lead to abnormal beta-cell function and insulin secretion, causing disorders such as hyperinsulinism and neonatal diabetes. Jen’s current research focus is the use of zebrafish models, combined with genetics and genomics, to understand cellular and molecular mechanisms of glucose metabolism and elucidate previously unknown players involved in the regulation of insulin secretion.
