Stanford University
Showing 41-50 of 115 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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Emily Geyman
Postdoctoral Scholar, Geophysics
BioI am a Stanford Science Fellow and postdoctoral scholar in the Department of Geophysics, working with Ching-Yao Lai. My research explores the connections between landscape dynamics, the global carbon cycle, and climate. I combine field observations, remote sensing, and physical models, often using space-for-time substitutions: natural experiments in which spatial patterns help reveal processes that unfold over timescales too long to observe directly.
At Stanford, I use optical and radar satellite observations to investigate how meltwater drainage beneath the Greenland Ice Sheet controls ice motion and its response to warming. I completed my Ph.D. at Caltech, where I studied how river migration and permafrost shape carbon cycling in Arctic landscapes, alongside projects investigating the controls on mountain erosion and post-wildfire debris flows.
Before Caltech, I worked at the Norwegian Polar Institute, reconstructing 80 years of glacier change across Svalbard to understand how climate and glacier geometry govern ice loss. I earned my B.A. in Geosciences at Princeton, where I combined fieldwork on modern carbonate sediments in the Bahamas with biogeochemical and stratigraphic models to understand how carbonate rocks record ancient sea level and ocean chemistry. This work informs how we read the geological record to reconstruct Earth’s climate and carbon-cycle history. -
Ishita Ghai
Postdoctoral Scholar, General Internal Medicine
BioIshita Ghai is a health policy researcher that applies causal inference methods to understand how health behaviors are shaped through individual and group factors in low-resource settings. She mainly studies these empirical questions in the context of randomized controlled trials, or through evaluations leveraging exogenous shocks using quasi-experimental techniques. She has managed several pilot and large randomized controlled trials across sub-Saharan Africa studying the short and long-term effects of health interventions on health outcomes for women, children, and people living with HIV/AIDS. At Stanford, she will advance work on medicine policy specifically focused on the effects of the shingles vaccine on dementia risk among older populations.
She completed her doctoral studies in policy analysis (economics concentration) at the RAND School of Public Policy, and holds an MBA from the University of California, Davis, an Ed.M. in international education policy from Harvard University, and a B.Tech in bioinformatics from VIT University. -
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.
