School of Medicine
Showing 391-400 of 1,556 Results
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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/ -
Elias Roth Gerrick
Member, Maternal & Child Health Research Institute (MCHRI)
BioEli received his B.S. in Microbiology and Immunology from U.C. Irvine in 2013, where he worked in the lab of Dr. Celia Goulding. He earned his Ph.D. from Harvard University in 2018 in the lab of Dr. Sarah Fortune, where he studied post-transcriptional regulation of gene expression in Mycobacterium tuberculosis. Eli joined the Howitt lab at Stanford in the summer of 2018, where he is studying the influence of protozoan members of the microbiome on intestinal immunity.
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Marc Ghanem
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsMarc's research focuses on leveraging deep learning to identify clinically relevant patterns within large medical datasets, aiming to deliver personalized and predictive healthcare solutions. Current projects include building comprehensive perioperative foundation model, optimizing neonatal total parenteral nutrition (TPN), analyzing anesthesiology research trends, and identifying differential responders and their characteristics in clinical trials.
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Ruth Margaret Gibson
Visiting Scholar, Medicine - Primary Care and Population Health
Affiliate, Pediatrics - NeonatologyBioDr. Ruth Gibson, PhD (如詩 吉布森), is a scholar at Stanford University with appointments at the Center for Innovation and Global Health (CIGH) and the Center for International Security and Cooperation (CISAC) within the Freeman Spogli Institute for International Studies.
Dr. Gibson specializes in global health and foreign affairs with a dedicated focus on improving maternal and child health in geopolitically complex regions affected by war and geopolitical challenges.
She holds an Honour's Bachelor of Science and a Master of Science from the University of Toronto, a fellowship in Medical Education from the Wilson Center for Medical Education at the University Health Network, and a PhD in Global Health and Strategic Studies from the University of British Columbia, and a postdoctoral fellowship from Stanford University. Fluent in English and French, and proficient in Mandarin Chinese, Dr. Gibson has spent a decade living abroad, engaging in humanitarian and global health initiatives across eight countries on five continents. Her experience spans fragile regions grappling with poverty, human rights issues, and war.
Currently, she is co-leading a Lancet Series on Global Health and Foreign Engagement with Professor Gary Darmstadt. Recently, she published significant findings on the impact of foreign aid sanctions on maternal and child health in The Lancet Global Health, garnering attention in Nature Medicine, The Stanford Report, and numerous international media outlets due to its critical relevance in today’s geopolitical landscape.
Dr. Gibson collaborates with the United Nations High Commission for Human Rights to develop a universal monitoring system to assess the impact of sanctions on human rights. Her research has been cited in UN General Assembly meetings by the Special Rapporteur on Unilateral Coercive Measures. She also contributes to mental health reports for the International Criminal Court's prosecution of war crimes and collaborates with the Global Burden of Disease Consortium at the Institute of Health Metrics and Evaluation, University of Washington, to publish health estimations and forecasts in The Lancet.
Leading a diverse team of academic scholars and independent experts and consultants, Dr. Gibson fosters a collaborative environment that encourages participation across various fields, including politics, statistics, simulation modeling, and social media design. Together, they aim to tackle complex questions regarding how civilian and child well-being is impacted by geopolitical challenges and foreign policy decisions. Dr. Gibson welcomes inquiries from those interested in conducting interdisciplinary research with real-world impact. She is responsive to journalists and media outlets seeking to understand issues which fall at the intersection of geopolitics, foreign policy, and health.
Dr. Gibson can be reached at rmgibson (at) stanford.edu
https://drruthgibson.com/ -
Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection). This work revealed molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is developing deep learning models to investigate aberrant splicing in cardiovascular disease.
