Stanford University
Showing 181-190 of 504 Results
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Marc Leon (aka Hongliang Liang) MD, PhD
Clinical Assistant Professor, Cardiothoracic Surgery
BioMarc Leon (also known as Hongliang Liang), M.D., Ph.D., previously served as Chief Surgeon, Associate Professor of Cardiovascular Surgery, and Director of the Division of Coronary Artery Surgery at Xijing Hospital in Xi'an, China. Currently, he is a Clinical Assistant Professor in the Department of Cardiothoracic Surgery at Stanford Hospital. Dr. Leon is a surgeon member of the Society of Thoracic Surgeons (STS), the International Society of Heart and Lung Transplantation (ISHLT), and the Chinese American Academy of Cardiology (CAAC). His clinical and research expertise includes the surgical management of cardiopulmonary failure, heart valve disease, and ischemic heart disease, along with the application of stem cell therapy for myocardial infarction. Additionally, Dr. Leon is actively engaged in exploring the application of artificial intelligence in the field of cardiovascular diseases.
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Mary Leonard
Arline and Pete Harman Professor, Professor of Pediatrics (Nephrology), of Medicine (Nephrology) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy multidisciplinary research program is focused on (1) the detrimental effects of glucocorticoids, sarcopenia and inflammation on bone development in pediatric diseases, (2) the long-term effects of childhood cancer on bone and muscle quality, (3) the assessment of renal osteodystrophy using novel micro-imaging techniques, (4) the effects of vitamin D deficiency on physical function and cardiovascular disease, and (5) the evaluation of biomechanical interventions as anabolic bone therapies.
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Stephanie A. Leonard
Assistant Professor (Research) of Obstetrics and Gynecology (Maternal Fetal Medicine) and, by courtesy, of Anesthesiology, Perioperative & Pain Medicine, and of Epidemiology and Population Health
BioStephanie Leonard, PhD, MS, is an Assistant Professor in the Dunlevie Maternal-Fetal Medicine Center for Discovery, Innovation, and Clinical Impact (https://dunleviemfm.stanford.edu/) and holds a courtesy appointment in Anesthesiology, Perioperative and Pain Medicine.
The goal of Dr. Leonard’s research is to advance equitable, positive health experiences and outcomes for pregnant individuals and newborns. She is interested in applying transdisciplinary methods to perinatal health research, with a focus on studying pregnancy-related morbidities in large data sources. Currently, her primary research interests are in building an infrastructure for distributed data network studies of perinatal health and improving treatment of chronic hypertension in pregnancy. To this end, she co-launched the OHDSI Pregnancy and Reproductive Health Work Group (https://www.ohdsi.org/workgroups/) and collaborates closely with the Harvard Program on Perinatal and Pediatric Pharmacoepidemiology (http://www.harvardpreg.org/). She also serves as a collaborator and mentor on a variety of obstetrics studies, including clinical trials, prospective and retrospective observational studies, and qualitative studies. Dr. Leonard's research program is currently funded by NHLBI (K01) and NICHD (U54).
Dr. Leonard trained in epidemiology at UCLA (MS) and UC Berkeley (PhD), where her research focused on nutrition in pregnancy and was completed in partnership with the WIC program and the Nutrition Policy Institute. She completed a postdoc in Neonatal and Developmental Medicine at Stanford as part of the Stanford Center for Population Health Sciences. -
Michael Leong
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor (By courtesy), NeurosurgeryCurrent Research and Scholarly Interests- Intrathecal / Intraspinal Analgesics
- Ziconotide (Prialt)
- Resiniferatoxin
- Industry-supported clinical trials -
Michael Lepech
C. L. Peck, Class of 1906, Professor and Senior Fellow at the Woods Institute for the Environment
BioUnsustainable energy and material consumption, waste production, and emissions are some of today’s most pressing global concerns. To address these concerns, civil engineers are now designing facilities that, for example, passively generate power, reuse waste, and are carbon neutral. These designs are based foremost on longstanding engineering theory. Yet woven within this basic knowledge must be new science and new technologies, which advance the field of civil engineering to the forefront of sustainability-focused design.
My research develops fundamental engineering design concepts, models, and tools that are tightly integrated with quantitative sustainability assessment and service life modeling across length scales, from material scales to system scales, and throughout the early design, project engineering, construction, and operation life cycle phases of constructed facilities. My research follows the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. SIMSS is a tool to guide the multi-scale design of sustainable built environments, including multi-physics modeling informed by infrastructure sensing data and computational learning and feedback algorithms to support advanced digital-twinning of engineered systems. Thus, my research applies SIMMS through two complementary research thrusts; (1) developing high-fidelity quantitative sustainability assessment methods that enable civil engineers to quickly and probabilistically measure sustainability indicators, and (2) creating multi-scale, fundamental engineering tools that integrate with sustainability assessment and facilitate setting and meeting sustainability targets throughout the life cycle of constructed facilities.
Most recently, my research forms the foundation of the newly created Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, a university-wide research center examining the potential for smart city technologies to enhance the sustainability of urban areas. Located in the smart city of Songdo, Incheon, South Korea, SCIGC is a unique global platform to (i) advance research on the multi-scale design, construction, and operation of sustainable built environments, (ii) demonstrate to cities worldwide the scalable opportunities for new urban technologies (e.g., dense urban sensing networks, dynamic traffic management, autonomous vehicles), and (iii) improve the sustainability and innovative capacity of increasingly smarter cities globally.
With an engineering background in civil and environmental engineering and material science (BSE, MSE, PhD), and business training in strategy and finance (MBA), I continue to explore to the intersection of entrepreneurship education, innovation capital training, and the potential of startups to more rapidly transfer and scale technologies to solve some of the world's most challenging problems. -
John Leppert
Professor of Urology and, by courtesy, of Nephrology
Current Research and Scholarly InterestsOur research aims to improve the global quality of care for patients with Urologic Cancer with a particular focus on kidney cancer. We are investigating novel proteomic platforms and assays to diagnose kidney cancer and predict response to therapy. We are evaluating the comparative effectiveness of various kidney cancer surgeries and their impact on chronic kidney disease and its downstream effects. We are applying epidemiology, bioinformatics, and health services methods to urologic conditions.
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Jure Leskovec
Professor of Computer Science
BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.
His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.
Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University.
