Stanford University
Showing 231-240 of 1,264 Results
-
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.
-
Rebecca Dang
Instructor, Peds/Hospital Medicine
BioDr. Rebecca Dang is an Instructor in the Division of General Pediatrics at Stanford University. She earned her medical degree at Georgetown School of Medicine and completed her pediatric residency at Kaiser Permanente Northern California. She also completed pediatric hospital medicine fellowship and a master’s program in clinical research and epidemiology at Stanford University. Dr. Dang provides clinical care for children on the pediatric ward and newborn nursery.
Dr. Dang’s research interest focuses on high-value pediatric care, which she hopes to improve through building evidence for common, understudied practices. Common practices that are ubiquitous throughout pediatric medicine are temperature measurement and management. Despite temperature measurement and the subsequent detection of ‘normal’ or ‘abnormal’ values driving clinical decision making, these temperature thresholds may be outdated or poorly defined. Dr. Dang has led many projects on temperature-related topics, including routine temperature measurement at well-child visits, pediatric temperature percentiles, risk factors for and outcomes of neonatal hypothermia in the newborn nursery, and newborn temperature norms. This work has led to first-author publications in the high-impact journals of Academic Pediatrics, Pediatrics, Journal of Pediatrics, JAMA Network Open, and Hospital Pediatrics. She has secured continual institutional and foundation funding, including a Maternal & Child Health Research Institute clinical trainee award and master’s tuition program, Gerber Foundation main and novice research award, the Department of Pediatrics’ Bridge-to-K Program, and the PEDSnet Scholars Program. -
Kay Daniels
Clinical Professor, Obstetrics & Gynecology - Maternal Fetal Medicine
Current Research and Scholarly InterestsSpecial interest in :
1.Ob simulation as a teaching and training tool
2. Disaster planning for OB units
3. Global women's health with an emphasis in cervical cancer screening -
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. -
Muhammad Najam Dar
Affiliate, Ophthalmology Research/Clinical Trials
BioDr. Muhammad Najam Dar is a research affiliate in ophthalmology at Stanford University and AI Lead at the Ocular Imaging Research and Reading Center (OIRRC). He holds a PhD in Computer Engineering from the National University of Sciences and Technology (NUST), Pakistan, and was awarded an Erasmus Mundus Fellowship for doctoral research at St George's City, University of London, United Kingdom.
His research focuses on multimodal ophthalmic imaging, artificial intelligence, quantitative retinal biomarkers, and objective visual-function assessment, with an emphasis on translating computational methods into clinically meaningful applications. His work integrates optical coherence tomography (OCT), fundus autofluorescence (FAF), microperimetry, electrophysiological signals, and advanced image analysis to investigate spatial relationships between retinal structure and visual function.
His recent research includes the development of automated OCT- and FAF-guided microperimetry methods for spatial structure–function mapping in geographic atrophy and Stargardt disease, alongside investigations of EEG- and pupillometry-based approaches to objective visual-function assessment. These efforts aim to improve retinal disease characterization and support the development of reproducible functional biomarkers and clinically relevant research endpoints.
At OIRRC, Dr. Dar leads multidisciplinary AI development activities spanning ophthalmic image processing, multimodal image registration, retinal segmentation, human-in-the-loop AI quality control, and clinical-trial imaging workflows. His work bridges algorithm development, clinical imaging infrastructure, and the validation and integration of AI technologies into real-world research operations.
Previously, Dr. Dar served as an Assistant Professor and Lecturer, contributing to research, teaching, and mentorship in artificial intelligence, computer vision, and biomedical engineering.
His long-term research interests center on precision ophthalmology, imaging-derived phenotyping, multimodal structure–function biomarkers, and clinically validated AI systems that can advance retinal disease research, therapeutic development, and clinical-trial endpoint assessment, particularly in inherited and degenerative retinal diseases. -
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.
-
Shubham Das
Postdoctoral Scholar, Biology
BioI am a postdoctoral researcher at Stanford University investigating how cytoskeletal regulators drive developmental processes and cellular pathways. My research focuses on the dynamic organization of the actin cytoskeleton and its roles in cell mechanics, asymmetric cell division, and embryonic development. I am particularly fascinated by how dynamic actin networks shape life at both the cellular and organismal levels. By integrating cell and developmental biology with quantitative imaging, molecular biology, and biophysical approaches, I aim to uncover the mechanisms that govern cellular behavior during development and inspire future advances in developmental biology and regenerative medicine.
-
Laura M.K. Dassama
Assistant Professor of Chemistry and of Microbiology and Immunology
BioLaura Dassama is a chemical biologist who uses principles from chemistry and physics to understand complex biological phenomena. Her group’s primary goal is to use detailed understanding of the factors that enable interactions between biological molecules to provide insights that allow functional control of those molecules. Her research projects aim to 1) discover the drivers of biomolecular interactions and 2) leverage that information to modulate disease relevant proteins.
