Stanford University
Showing 3,601-3,650 of 12,914 Results
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Brice Gaudilliere
Professor of Anesthesiology, Perioperative and Pain Medicine (MSD) and, by courtesy, of Pediatrics (Neonatology)
Current Research and Scholarly InterestsThe advent of high dimensional flow cytometry has revolutionized our ability to study and visualize the human immune system. Our group combines high parameter mass cytometry (a.k.a Cytometry by Time of Flight Mass Spectrometry, CyTOF), with advanced bio-computational methods to study how the human immune system responds and adapts to acute physiological perturbations. The laboratory currently focuses on two clinical scenarios: surgical trauma and pregnancy.
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Dyani Gaudilliere
Clinical Associate Professor, Surgery - Plastic & Reconstructive Surgery
BioDr. Dyani Gaudilliere specializes in Dental Surgery and Oral Oncology in a hospital setting. As a hospital dentist she performs surgical treatment of infection and trauma to the teeth and supporting alveolar bone. She also performs medically necessary dental clearance and extractions in the context of larger medical conditions, such as cardiac disease, joint replacement, or organ transplantation. As an oral oncologist, she specializes in surgical dental treatment prior to, during, and following radiation therapy and chemotherapy.
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Benny Gavi, MD, MTS
Clinical Assistant Professor, Medicine
Current Research and Scholarly InterestsHospitalist Medicine
Medicine Consultation
Quality Improvement
Medical Ethics
Organizational Ethics
Medical Humanities -
Charles Gawad
Associate Professor of Pediatrics (Hematology/Oncology)
BioOur lab works at the interface of biotechnology, computational biology, cellular biology, and clinical medicine to develop and apply new tools for characterizing genetic variation across single cells within a tissue with unparalleled sensitivity and accuracy. We are focused on applying these technologies to study cancer clonal evolution while patients are undergoing treatment with the aim of identifying cancer clonotypes that are associated with resistance to specific drugs so as to better understand and predict treatment response. We are also applying these methods to understand how more virulent pathogens emerge from a population of bacteria or viruses with an emphasis on developing a deeper understanding of how antibiotic resistance develops.
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Michael W. Gaynon, MD
Clinical Professor, Ophthalmology
Current Research and Scholarly Interests-Retinal Vascular Disease
-Angiogenesis
-Retinopathy of Prematurity
-Sustained Release Drug Delivery Systems -
Sharon Markham Geaghan
Associate Professor of Pathology at the Stanford University Medical Center, Emerita
Current Research and Scholarly InterestsPediatric Hematopathology, Pediatric Laboratory Medicine and Pathology
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Benedikt Geier
Postdoctoral Scholar, Infectious Diseases
BioB.Sc. Biology, Ludwig Maximilian University (LMU), Munich/Germany (2013)
M.Sc. Biology and bioimaging, Ludwig Maximilian University (LMU), Munich/Germany (2015)
Ph.D., Animal-Microbe Symbioses, Max Planck Institute for Marine Microbiology in Bremen/Germany (2020)
Benedikt joined the Amieva Lab from Germany in 2022. During his B.Sc. and M.Sc. programs in zoology, he became fascinated with 3D imaging approaches to study small animal microanatomy. He spent his PhD developing in situ imaging approaches to study deep-sea symbioses and fell in love with studying host-microbe interactions. In the Amieva Lab, Benedikt will advance his previously developed correlative chemical imaging techniques to resolve metabolic and cellular interactions that drive H. pylori pathogenesis in the gastric glands.
More about Benedikt's transition from deep-sea microbiology into infectious disease research can be found here:
https://scopeblog.stanford.edu/2022/08/24/unconventional-paths-deep-sea-to-the-stomach/ -
Pascal Geldsetzer
Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Department of Biomedical Data Science, Department of Health Policy, and the Stanford Center for Population Health Sciences.
His research focuses on identifying and evaluating the most effective interventions for improving health at older ages. In addition to leading several randomized trials, his methodological emphasis lies on the use of natural experiments to ascertain causal effects in large observational datasets, particularly in electronic health record data. He has won an NIH New Innovator Award (in 2022), a Chan Zuckerberg Biohub investigatorship (in 2022), and three NIH R01 grants as Principal Investigator (in 2023 and 2024). In 2026, he was named one of the 100 most influential people in health and medicine globally by TIME Magazine. -
Margarita Geleta
Graduate, Biomedical Data Science
BioMargarita Geleta is a computer science PhD student at University of California, Berkeley (major in Artificial Intelligence and minor in Human-Computer Interaction), and a graduate exchange student at Stanford University. Ms. Geleta received her M.S. in computer science at University of California, Berkeley.
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Linda N. Geng, MD, PhD
Clinical Associate Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy scholarly focus is on puzzling and complex conditions. Our work aims to improve patients' diagnostic journeys, characterize poorly understood diseases, discover biological mechanisms, find treatments, improve care models, and reach communities in need.
With the COVID pandemic, the puzzling and complex illness of Long COVID or post-acute COVID-19 syndrome (PACS) emerged. Together with a multidisciplinary group of physicians and researchers, we launched a program here at Stanford to advance the care and understanding of Long COVID. Our goal is to better understand the natural history, clinical symptomatology, immunological response, risk factors, and subtypes of Long COVID. We are also actively assessing treatment strategies for Long COVID and developing care pathways and tools for clinicians to help their patients with this and other related infection-associated chronic illnesses. -
Grace Gengoux, PhD, BCBA-D
Clinical Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Current Research and Scholarly InterestsDr. Grace Gengoux is Director of the Autism Intervention Clinic and leads an autism intervention research program focused on developing and evaluating promising behavioral and developmental treatments for Autism Spectrum Disorder (ASD).
Dr. Gengoux is also Associate Chair for Faculty Engagement & Well-being and Department Well-being Director in the Department of Psychiatry and Behavioral Sciences, leading the department's Standing Well-being Advisory Committee. -
Jacqueline Genovese
Academic Prog Prof 3, School of Medicine - Biomedical Ethics
Current Role at StanfordExecutive Director of the Medicine & the Muse Program
LEAD Program for Residents, Mentor
Member of Stanford School of Medicine JEDI Collective
Member SCBE Diversity Committee
Steering Committee Member: Health Humanities Consortium
Teaching Lead, War Literature & Writing class for military affiliated students
Co-teacher, War and Fiction for non military and military affiliated students
Facilitator, Literature & Medicine Dinner & Discussion Series
Co-lead Stuck@Home Concert series
Co-Lead: Frankenstein@200 2017-2018 Initiative
Stanford Supervisory Academy (completed) -
Mark Genovese
James W. Raitt M.D. Professor, Emeritus
Current Research and Scholarly InterestsClinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.
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Michael Gensheimer
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data. -
Andrew Gentles
Associate Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology
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Heather Gentner
Director of Finance and Administration (SoM), Stem Cell Bio Regenerative Med Institute
Current Role at StanfordI am the Director of Finance and Administration for the Institute for Stem Cell Biology and Regenerative Medicine (ISCBRM) in the School of Medicine. I oversee and carry out administrative and financial related functions for the department.
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Paul George, MD, PhD
Associate Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsCONDUCTIVE POLYMER SCAFFOLDS FOR STEM CELL-ENHANCED STROKE RECOVERY:
We focus on developing conductive polymers for stem cell applications. We have created a microfabricated, polymeric system that can continuously interact with its biological environment. This interactive polymer platform allows modifications of the recovery environment to determine essential repair mechanisms. Recent work studies the effect of electrical stimulation on neural stem cells seeded on the conductive scaffold and the pathways by which it enhances stroke recovery Further understanding the combined effect of electrical stimulation and stem cells in augmenting neural repair for clinical translational is a major focus of this research going forward.
BIOPOLYMER SYSTEMS FOR NEURAL RECOVERY AND STEM CELL MODULATION:
The George lab develops biomaterials to improve neural recovery in the peripheral and central nervous systems. By controlled release of drugs and molecules through biomaterials we can study the temporal effect of these neurotrophic factors on neural recovery and engineer drug delivery systems to enhance regenerative effects. By identifying the critical mechanisms for stroke and neural recovery, we are able to develop polymeric technologies for clinical translation in nerve regeneration and stroke recovery. Recent work utilizing these novel conductive polymers to differentiate stem cells for therapeutic and drug discovery applications.
APPLYING ENGINEERING TECHNIQUES TO DETERMINE BIOMARKERS FOR STROKE DIAGNOSTICS:
The ability to create diagnostic assays and techniques enables us to understand biological systems more completely and improve clinical management. Previous work utilized mass spectroscopy proteomics to find a simple serum biomarker for TIAs (a warning sign of stroke). Our study discovered a novel candidate marker, platelet basic protein. Current studies are underway to identify further candidate biomarkers using transcriptome analysis. More accurate diagnosis will allow for aggressive therapies to prevent subsequent strokes. -
Marios Georgiadis
Instructor, Radiology
BioMarios is an Instructor of Neuroimaging, part of the Faculty of the Stanford University School of Medicine.
His research focuses mainly on studying brain microstructure using cutting edge imaging (advanced X-ray, MRI, optical, and spatial biology approaches), with a particular focus on Alzheimer's disease hippocampi, neurodegeneration, and a special interest in myelin and iron.
He is also actively involved in projects related to imaging and modeling brain trauma, exosome signatures of neurodegeneration, and imaging the brain using advanced forms of electron and light microscopy.
His current research is being supported by NIH, the Alzheimer's Association, and the American Society of Neuroradiology.
Marios is a mechanical engineer by training (School of Mechanical Engineering, National Technical University of Athens, Greece). His thesis "Closed-loop force control of a haptic surgical simulator", was performed in the Control Systems Lab of Prof. Evangelos Papadopoulos.
In 2011 he obtained his MSc in Biomedical Engineering from ETH Zurich (Swiss Federal Institute of Technology). He performed his thesis in IBM Research on "Advanced pathology using the Microfluidic Probe", under Emmanuel Delamarche and Govind Kaigala, and was awarded the ETH medal for this work.
He completed his PhD in Bone Biomechanics in the lab of Prof. Ralph Muller in ETH Zurich, where he developed X-ray scattering-based methods to investigate bone microstructure in 3D, research that earned him the 2nd Student Award from the European Society for Biomechanics in 2015.
In 2016 he started using imaging methods to study brain microstructure, in the lab of Prof. Markus Rudin, in the Institute for Biomedical Engineering of ETH Zurich. There, he combined X-ray scattering with DTI, histology and CLARITY for studying rodent brain.
In 2017 he joined the MRI Biophysics group of Profs. Els Fieremans and Dmitry Novikov in New York University School of Medicine, to study human and mouse brain microstructure using X-ray scattering and diffusion MRI.
He is in the Translational Neuroimaging lab, headed by Dr Michael Zeineh, since 2019.
His research on myelin in mouse and human brain using X-ray scattering has been supported twice by the Swiss National Science Foundation.
