Vice Provost and Dean of Research
Showing 341-350 of 1,742 Results
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Ronald L. Dalman MD
Dr. Walter C. Chidester Professor
Current Research and Scholarly InterestsVascular biology, arterial remodeling, aneurysm development; innovative treatment strategies for AAA, animal models of arterial disease, arterial remodeling and flow changes in spinal cord injury, genetic regulation of arterial aneurysm formation
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Francesco Nandkumar Dandekar
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioDr. Dandekar is a Clinical Associate Professor and Associate Director of Sports Psychiatry at Stanford University. After graduating summa cum laude from the University of Southern California with a B.S. in Biomedical Engineering, he earned a Regents Scholarship to complete his M.D. at UC San Diego, where he received the American Academy of Neurology’s Prize for Excellence. During his residency and fellowship at Stanford, Dr. Dandekar provided care to a variety of patients utilizing a combination of medication management, psychotherapy, and lifestyle changes (sleep, nutrition, exercise, recovery). Teamed with Clinical Professor Dr. Douglas Noordsy, he helped to incorporate psychiatric services into Stanford's sports psychology program, and continues to see elite athletes as part of the Stanford Sports Psychiatry Clinic. He also specializes in treating physicians, and sees many residents, fellows, and attendings in his private practice. In his free time, he enjoys playing tennis, chess, and guitar.
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Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology and, by courtesy, of Radiology
BioDr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.
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Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions. -
Kyle Gabriel Daniels
Assistant Professor of Genetics and, by courtesy, of Neurosurgery (Adult Neurosurgery)
BioKyle obtained his BS in Biochemistry from the University of Maryland College Park in 2010, conducting undergraduate research with Dr. Dorothy Beckett, PhD. He obtained his PhD in Biochemistry with a certificate in Structural Biology and Biophysics. His dissertation is titled "Kinetics of Coupled Binding and Conformational Change in Proteins and RNA" and was completed in the laboratory of Dr. Terrence G. Oas, PhD. Kyle performed postdoctoral training with Dr. Wendell A. Lim, PhD at UCSF studying how CAR T cell phenotype is encoded by modular signaling motifs within chimeric antigen receptors.
Kyle's lab is interested in harnessing the principles of modularity to engineer receptors and gene circuits to control cell functions.
The lab will use synthetic biology, medium- and high-throughput screens, and machine learning to: (1) Engineer immune cells to achieve robust and durable responses against various cancer targets, (2) Coordinate behavior of multiple engineered cell types in cancer, autoimmune disease, and payload delivery, (3) Control survival, proliferation, and differentiation of hematopoietic stem cells (HSCs) and immune cells, and (4) Explore principles of modularity related to engineering receptors and gene circuits in mammalian cells. -
Gary Darmstadt
Sue Alvarez Professor of Neonatal and Developmental Medicine and Professor (Teaching), by courtesy, of Obstetrics and Gynecology
Current Research and Scholarly InterestsI have extensive experience in the development of global health innovations and in working to test and scale-up health interventions. At Stanford University, I am playing a leading role in developing global women and children’s health research and educational programs, including the establishment of a Global Center for Gender Equality at Stanford University. My research focuses on advancing child health and development in low resource settings and advancing gender equality and health globally, and includes several applications of artificial intelligence. Before joining Stanford, I was Senior Fellow at the Bill & Melinda Gates Foundation (BMGF), where I led the development of initiatives to address gender inequalities and empower women and girls. Prior to this role, I served as the BMGF Director of Family Health, leading strategy development and implementation across maternal, newborn and child health, nutrition, and family planning. In this role, I was responsible for investments ranging from scientific discovery to intervention development and delivery of interventions at scale. I worked closely with the Discovery team to shape discovery and development investments and was a co-founder of the Saving Lives at Birth Development Grand Challenge, the Putting Women and Girls at the Center of Development Grand Challenge, and the Healthy Birth, Growth and Development initiative. Based on these experiences, I understand how to identify knowledge gaps and generate evidence of impact for new interventions, and how to utilize evidence to influence the policy dialogue leading to programmatic adoption and scale-up of interventions in low income settings. As Director of Family Health, I also co-led the development and implementation of the BMGF global health strategy for India, which cuts across multiple health and development sectors. Before joining BMGF, I was Associate Professor and Founding Director of the International Center for Advancing Neonatal Health in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health. I led the development of newborn health research, including numerous facility- and community-based maternal and child health research trials. Before joining Johns Hopkins, I was Senior Research Advisor for the $50M Saving Newborn Lives program of Save the Children-US, where I led the development and implementation of the global research strategy for newborn health and survival.
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Beth Darnall, PhD
Professor of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) and, by courtesy, of Psychiatry and Behavioral Sciences (General Psychiatry & Psychology (Adult))
Current Research and Scholarly InterestsThe Stanford Pain Relief Innovations Lab is dedicated to better characterizing and treating pain with patient-centered solutions. We specialize in the conduct of large-scale acute and chronic pain clinical trials that aim to (1) expand and scale access to behavioral medicine via digital and brief treatments; (2) reduce opioid risks via reduction for some and improved opioid access for others; (3) equip healthcare providers with brief behavioral medicine interventions to optimize health outcomes.
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Eric Darve
Director, Institute for Computational and Mathematical Engineering (ICME) and Professor of Mechanical Engineering
Current Research and Scholarly InterestsThe research interests of Professor Darve span across several domains, including machine learning for science and engineering, large-language models, transformer models, surrogate and reduced order modeling, stochastic inversing, anomaly detection, numerical linear algebra, high-performance, parallel, and GPU computing.
