School of Medicine
Showing 381-400 of 1,580 Results
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Yifan Gao
Postdoctoral Scholar, Microbiology and Immunology
BioDr. Yifan Gao is a postdoctoral researcher at Stanford University School of Medicine in the Department of Microbiology and Immunology under Prof. Justin Sonnenburg's advisement. Prior to joining Stanford, she received her Ph.D. from UCLA focusing on Environmental Microbiology and M.S. from UC Berkeley in Environmental Engineering.
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Cathy Garcia
Postdoctoral Scholar, Stanford Cancer Institute
Current Research and Scholarly InterestsIslet biology, diabetes, obesity, pancreatic cancer
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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, is a scholar at Stanford University. She holds appointments at the Center for Innovation and Global Health (CIGH) and the Center for International Security and Cooperation (CISAC). Dr. Gibson’s research focuses on war, blockades, and sanctions and their impacts on maternal and child health. Her expertise is in geopolitically complex regions of the world, crises, and what all of this means for human health.
Dr. Gibson’s research is published in internationally renowned outlets such as The Lancet and The Lancet Global Health. She publishes research on issues such as foreign aid withdrawal and impacts on mothers and children, humanitarian catastrophe in Gaza, and sanctions against Iran. Her insights have been highlighted by The New York Times, The New Yorker, and TIME. Dr. Gibson responds quickly to producers, journalists, and media outlets seeking expert analysis of critical issues in war, peace, and human lives.
She is currently co-leading a Lancet Series on Global Health and Foreign Engagement with Professor Gary Darmstadt. She leads worldwide international panels on critical issues in global health – geopolitical crisis and their impacts on health – through the Consortium of Universities for Global Health (CUGH) and Stanford’s CIGH. 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. She also worked on war crimes investigations with the Yale Humanitarian Research Lab and on the International Criminal Court's prosecution of war crimes.
Dr. Gibson spent a decade working internationally, engaging in humanitarian and global health initiatives across eight countries on five continents – including conflict zones. Dr. Gibson is fluent in English and proficient in Mandarin Chinese (如詩 吉布森), French, and Spanish. She holds a postdoctoral fellowship from Stanford University, a PhD from the University of British Columbia, an Honors Bachelor of Science, and a Master of Science from the University of Toronto.
Dr. Gibson can be reached at rmgibson@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.
