School of Medicine
Showing 9,441-9,460 of 13,038 Results
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Navi Reiners, MD, MPH
Adjunct Clinical Assistant Professor, Obstetrics & Gynecology - General
BioDr. Navi Reiners is board certified in Obstetrics and Gynecology. She is dedicated to providing comprehensive obstetrical and gynecological care to women of all ages in a compassionate and patient-centered manner. Her clinical interests include health education and wellness, pregnancy, adolescent health, contraception and minimally invasive surgery. When she is not taking care of patients, she enjoys reading, baking, Pilates and exploring her native Bay Area with her husband and young children.
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Olaf Reinhartz
Current Research and Scholarly Interests1. Mechanical circulatory support in failing Fontan circulation
2. Pathophysiologic response to fetal cardiac surgery.
3. Various clinical projects in pediatric cardiothoracic surgery -
Eduardo Pontes Reis
Affiliate, Rad/Pediatric Radiology
BioI'm a visiting scholar at Stanford AIMI Center, working in the intersection of Artificial Intelligence and Medicine. My purpose is to contribute to our understanding of intelligence. And our best chance to achieve this is through AI.
Research highlights:
- Published BRAX, the Brazilian Chest X-ray Dataset - https://www.nature.com/articles/s41597-022-01608-8
- Open-sourced the PyTorch implementation of ConVIRT (Y Zhang et al), a contrastive learning method for radiologic images and text (before CLIP) - https://github.com/edreisMD/ConVIRT-pytorch
- Released Brain Hemorrhage Annotations - Brain Hemorrhage Extended - BHX (https://physionet.org/content/bhx-brain-bounding-box)
At Hospital Israelita Albert Einstein:
- Started the Health Story project, a medical history timeline to support research and a more personalized clinical practice
- Ran the development of AI algorithms for diseases of national importance: Tuberculosis, COVID, Melanoma and Head CT -
Jenna Reisler
Fellow in Peds/Clinical Informatics
BioJenna Reisler, MD is an Internal Medicine-trained Clinical Informatics Fellow passionate about designing clinical decision support tools that reduce clinician burden and improve patient outcomes. Her work spans AI-integrated CDS for falls prevention, human-centered EHR workflow design, and quality improvement in ambulatory care. Recent projects include a co-investigator role on an EPIC-based falls prevention CDS tool published in Applied Clinical Informatics, and co-PI of an ACGME Back to Bedside–funded home visit program integrating social determinants of health into residency training.
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Allan L. Reiss
Howard C. Robbins Professor of Psychiatry and Behavioral Sciences and Professor of Radiology
On Partial Leave from 2026-09-01 To 2026-09-30Current Research and Scholarly InterestsMy laboratory, the Center for Interdisciplinary Brain Sciences Research (CIBSR), focuses on multi-level scientific study of individuals with typical and atypical brain structure and function. Data are obtained from genetic analyses, structural and functional neuroimaging studies, assessment of endocrinological status, neurobehavioral assessment, and analysis of pertinent environmental factors. Our overarching focus is to model how brain disorders arise and to develop disease-specific treatments.
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Marissa Reitsma
Assistant Professor of Health Policy
BioMarissa Reitsma, PhD, is an Assistant Professor of Health Policy at Stanford University School of Medicine. She obtained her PhD in Health Policy at Stanford in 2024, during which time she was a Knight-Hennessy Scholar, Stanford Data Science Scholar, and NSF Graduate Research Fellow. Previously, she worked on the Global Burden of Disease Study at the Institute for Health Metrics and Evaluation. Reitsma develops computational models to quantify disease burden, evaluate the benefits and costs of interventions, and support evidence-based policies across a range of priorities in public health, with a focus on health equity.
Reitsma aims to build simulation models that integrate the overlapping risk factors, social determinants, and syndemic conditions that disproportionately impact marginalized populations and contribute to health inequities. She also investigates the potential for multimodal data synthesis to inform these models, improve population health decision-making, and reduce health disparities. Her work spans multiple communicable and non-communicable conditions linked to behavioral risk factors, including tobacco use, drug use, and obesity. During the COVID-19 pandemic, she collaborated closely with state and local public health agencies to inform their decision-making. -
Bruce A Reitz
Norman E. Shumway Professor, Emeritus
Current Research and Scholarly InterestsMechanism of allograft rejection for the heart and, lung; late chronic effects of rejection, such as graft coronary, atherosclerosis in the heart and bronchiolitis obliterans in the, lung; treatment of rejection, including pharmacologic agents, total, lymphoid irradiation, and the induction of tolerance in fetal, animals; clinical studies include the results of lung and heart-lung, transplantation, modification of immunosuppressive protocols, and, factors contributing to late chronic rejection.
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David A. Relman
Thomas C. and Joan M. Merigan Professor and Professor of Microbiology and Immunology
Current Research and Scholarly InterestsMy investigative program focuses on human-microbe interactions and human microbial ecology, and primarily concerns the ecology of human indigenous microbial communities; a secondary interest concerns the classification of humans with systemic infectious diseases, based on features of genome-wide gene transcript abundance patterns and pther aspects of the host response.
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Bijie Ren
Visiting Instructor, Radiation Oncology - Radiation Physics
BioBijie Ren is a quantitative biologist as well as a pro bono academic advisor for the SATORI Institute for Complexity and Emergence (SICE). Inspired by electrical engineering and synthetic biology courses at MIT, he developed a profound interest in integrating digital logic into synthetic biotechnology. He earned his Ph.D. in Quantitative Biology from UC San Diego and was a Postdoctoral Fellow at the Carnegie Institution for Science at Stanford University. His expertise lies at the intersection of AI and synthetic biology, built a high throughput cellOS to quickly Decode-Design-Recode novel species, with a specific focus on engineering microalgae to foster a better ocean ecosystem, discovery of anti-aging chemicals/peptides with new technology and real-world ground-truth data generation for virtual cell training and AlphaFold improvement. The whole pipeline can quickly help scientists to discover novel protein targets involved in aging process, design new chemical/peptide to target on these proteins and validate their effect in the wet lab to see if these molecules can extend single cell life span. The ingredients can be used for cosmetic, cosemtic injection, healthcare food and pharmacy sequentially. And with powerful cell factory and new synbio technology, he can reduce the R&D and manufacture cost by log scale.
In his advisory role at SICE, he also collaborated with distinguished faculties from top universities to initiate local "Labrary", aiming to empower young students to succeed in both academia and industry.
