School of Medicine
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Olaf Reinhartz
Clinical Associate Professor, Cardiothoracic Surgery
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/Integrative Biomedical Imaging Informatics at Stanford
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 -
Allan L. Reiss
Howard C. Robbins Professor of Psychiatry and Behavioral Sciences and Professor of Radiology
Current 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.
