School of Medicine
Showing 2,441-2,460 of 13,056 Results
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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. -
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. -
Leonardo Daniels
Casual Employee, Pediatrics - General Pediatrics
FOH Associate, Stanford LiveBioLeonardo is currently working in the Oncology/Hematology Department as an Undergraduate Researcher and working in Education where he is making a better tomorrow.
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Amy D. Blake-Iranon, MSML
Adm Svcs Admstr 1, OHNS/Research Division
Current Role at StanfordPediatric Otolaryngology Division and Research Administrator
Clinician-Scientists Training Program Coordinator -
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. -
Corinna Darian-Smith, PhD
Professor of Comparative Medicine
Current Research and Scholarly InterestsMy lab looks at the organization and function of central neural pathways that underlie directed manual behavior. We are specifically interested in how these pathways adapt following injury, and use a combination of approaches in monkeys to identify mechanisms mediating neural reorganization and behavioral recovery.
