Stanford University
Showing 25,301-25,350 of 34,414 Results
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Samuel Rodriguez, MD
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Sam Rodriguez is a native of New Jersey and practicing Pediatric Anesthesiologist at Stanford Children's Hospital. He is best known for being the husband of the Stanford Cardiologist Dr. Fatima Rodriguez. Sam was a member of the self proclaimed greatest Anesthesia Residency Class in history (MGH 2012). He is a founder and co-director of the Stanford CHARIOT Program which creates and studies innovative approaches to treating pediatric pain and stress through technology. The CHARIOT Program has positively impacted thousands of children around the world and has grown to include emerging technologies like virtual reality, augmented reality, and interactive video games. Dr. Rodriguez is also highly involved in medical humanities education at Stanford Medical School and teaches courses at the undergraduate and graduate levels on how studying art can make better physicians.
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Patricia Rodriguez Espinosa
Assistant Professor of Epidemiology and Population Health
BioDr. Patricia Rodriguez Espinosa, PhD., MPH, is an Assistant Professor in the Department of Epidemiology and Population Health and also serves as the Associate Director of Research for the Office of Community Engagement at Stanford Medicine. Dr. Rodriguez Espinosa is also the Associate Core Lead for the Outreach, Recruitment, and Engagement Core of the Stanford Alzheimer's Disease Research Center. The ultimate goal of her research is to improve the health of diverse populations - including Latinxs, under-resourced communities, and older adults - through transdisciplinary and community-engaged scholarship. Her research aims to develop novel multi-level interventions and health promotion programs to improve health outcomes (e.g., around aging, multiple chronic conditions, cardiovascular disease) and that include multi-sectoral collaborations. Dr. Rodriguez Espinosa's research has also centered around developing the science of Community-Based Participatory Research, citizen/community science, and other participatory research approaches.
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Daniela Rodriguez Martinez
Assistant Manager, Communications, School of Medicine - MDRP'S - Biodesign Program
Current Role at StanfordAssistant Manager, Communications @Stanford Byers Center for Biodesign
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Carlos Jose Rodriguez Santiago
Ph.D. Student in Chemical Engineering, admitted Autumn 2022
BioCarlos Rodriguez Santiago is a Chemical Engineering PhD candidate working in the lab of Dr. Judith Shizuru to develop protein therapeutics that will facilitate hematopoietic stem cell transplantation without the need for chemotherapy or radiation. His PhD thesis work is at the intersection of immunology, oncology, and protein engineering. Carlos is also a Sarafan CheM-H Lipshultz Graduate Fellow participating in the Chemistry/Biology Interface (CBI) Predoctoral training program which aims to cultivate interactions and thinking across disciplinary lines to enable innovations that improve human health.
Prior to his PhD work, Carlos helped found the Protein Engineering Knowledge Center (PEKC) at Stanfords Innovative Medicines Accelerator (IMA). There he collaborated with researchers to discover and engineer antibodies against therapeutically relevant targets. Several antibodies discovered by Carlos have officially been licensed out for further therapeutic development. -
Nicolas Roever
Graduate Visiting Researcher Student, Economics
BioI am a PhD-Student in Economics and experimental researcher. My current interest is studying (1) if we can use AI to deliver psychological interventions at scale and (2) how this changes mental health systems.
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Kacper Rogala
Assistant Professor of Structural Biology and of Chemical and Systems Biology
Current Research and Scholarly InterestsOur team is fascinated by how cells make growth decisions — to grow or not to grow. In order to grow, cells require nutrients, and we are unraveling how cells use specialized protein sensors and transporters to sense and traffic nutrients in between various compartments. We use approaches from structural biology, chemical biology, biophysics, biochemistry, and cell biology — to reveal the mechanisms of basic biological processes, and we develop chemical probes that modulate them.
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Albert "A.J." Rogers, MD, MBA, FAHA, FHRS
Assistant Professor of Medicine (Cardiovascular Medicine)
BioDr. Rogers is a board-certified, fellowship-trained cardiologist with the Cardiac Arrhythmia Service at Stanford Health Care. He is Assistant Professor of Medicine in the Division of Cardiovascular Medicine, Department of Medicine at Stanford University School of Medicine.
As a clinical cardiac electrophysiologist, Dr. Rogers’ expertise includes evaluating issues involving electrical activity in the heart and how these can lead to an abnormal heart rhythm (arrhythmia). This includes mapping regions in the heart associated with arrhythmias and then applying a minimally invasive therapy (ablation) that targets the responsible areas causing the problem. He also performs procedures to implant cardiac devices, such as pacemakers and defibrillators, designed to synchronize heart contractions and reset irregular heartbeats.
Dr. Rogers specializes in the diagnosis and treatment of atrial fibrillation, ventricular tachycardia, and other arrhythmias. In collaboration with Stanford Medicine cardiovascular surgeons, he performs hybrid surgical-catheter ablation procedures as a more permanent treatment for persistent forms of atrial fibrillation and for inappropriate sinus tachycardia. During this procedure, ablation therapy is applied to areas both inside and outside of the heart responsible for the arrhythmia.
As a physician-researcher, Dr. Rogers’ translational research applies biomedical engineering and machine learning approaches to explore the mechanisms underlying cardiac arrhythmia. These efforts include research funded by the National Institutes of Health and the American Heart Association to investigate novel methods for diagnosing and treating heart rhythm disorders. Dr. Rogers has over 15 years of experience with medical technology innovation and development.
Dr. Rogers serves as associate editor of the Journal of Invasive Cardiovascular Electrophysiology. He has been an invited guest speaker at national and international meetings, including those for the American Heart Association and the European Cardiac Arrythmia Society. -
Angela Rogers
Professor-Univ Med Line, Medicine - Pulmonary, Allergy & Critical Care Medicine
Current Research and Scholarly InterestsWe use genetics and genomics methodologies to identify novel ARDS pathobiology; we hope that this will enable identification of novel biomarkers, phenotypes, and treatments for the disease. We are building a plasma biobank of critically ill patients at Stanford, with a particular focus on metabolic changes in critical illness.
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D. Brian Rogers
Masters Student in Earth System Science, admitted Autumn 2022
BioBrian is a doctoral student in Earth System Science working with Dr. Kate Maher. Brian is interested in developing robust monitoring, reporting, and verification frameworks for open-system carbon dioxide removal (CDR) technologies. He is currently focusing on extending the utility of reactive transport models to address uncertainties in enhanced rock weathering as a CDR strategy.
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Justin S. Rogers
Research Oceanographer, Contingent
Staff, Program-Fringer O.BioPh.D. Civil & Environmental Engineering, Stanford University, 2016
M.S. Civil & Environmental Engineering, University of Wisconsin-Madison, 2006
B.S. Civil Engineering (Minor in Chemistry), University of Arizona, 2004
Research interests:
-Coastal resilience, risk, sea level rise, extreme events, compound hazards
-Impact of climate change on human and natural systems in coastal and nearshore environments
-Core model development for coastal applications, storm surge, tropical cyclones, flood risk, bottom boundary layers, turbulence, and multiscale physics.
I leverage the power of cloud computing, HPC systems and modern code frameworks, and adapt multiple analysis methods including dynamical models, machine learning, statistical methods, and field observations.
