Stanford University
Showing 241-250 of 598 Results
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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.
