School of Medicine
Showing 401-420 of 1,599 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. -
Elias Roth Gerrick
Basic Life Research Scientist, Pathology Sponsored Projects
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 InterestsData-driven healthcare and AI research in a translational setting.
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Ruth Margaret Gibson
Postdoctoral Scholar, Medicine
BioDr. Ruth M. Gibson is a Banting Postdoctoral Fellow at the Center for Innovation in Global Health, at Stanford University School of Medicine. Her research focuses on geopolitical coercion and global maternal child health. Prior to her return to academia, she spent a decade working in global health in countries such as Madagascar, Yemen, Saudi Arabia, and Ecuador.
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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 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, proteomics data) derived from human observational or intervention studies (vaccination and experimental human infection) in order to discover 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 focused on the use of deep learning and transformer models to identify novel splice isoforms of hypertrophic cardiomyopathy using whole genome sequencing data.
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Sneha Goenka
Postdoctoral Scholar, Cardiovascular Medicine
Stanford Student Employee, Hoover InstitutionBioSneha Goenka is a Ph.D. candidate in the Electrical Engineering Department at Stanford University where she is advised by Prof. Mark Horowitz. Her research centers on designing efficient computer systems for advancing genomic pipelines for clinical and research applications, with a focus on improving speed and cost. She is a 2023 Forbes 30 Under 30 Honoree in the Science category, 2022 NVIDIA Graduate Fellow, and 2021 Cadence Women in Technology Scholar. She has a B.Tech. and M.Tech. (Microelectronics) in Electrical Engineering from the Indian Institute of Technology, Bombay where she received the Akshay Dhoke Memorial Award for the most outstanding student in the program.
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Ethan Goh, MD, MS
Postdoctoral Scholar, General Internal Medicine
BioDr. Goh's research focuses on AI in healthcare, digital health, and informatics. He has successfully led multi-site, grant-funded evaluation studies on Large Language Models applications within healthcare. Prior to Stanford, he was an Internal Medicine clinician, startup founder and technology consultant, working with partners like Google, OpenAI, Roche, Samsung, IDEO, and the NHS in the development, validation and commercialization of digital health products and AI technology. He holds an MD from Imperial College, London, and a Masters in Clinical Informatics and Management from Stanford University.
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Bruna Filipa Gomes Botelho Quintas
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsThe increasing availability of very large datasets, along with recent advances in deep learning based tools for automatic extraction of cardiac traits, has led to the discovery of further common variants associated with cardiac disease. However, the genetic underpinnings of valvular heart disease remains understudied. I am interested in developing deep learning techniques to automatically extract cardiac flow information to facilitate genome-wide association studies of cardiac flow traits.
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Camila Gonzalez
Postdoctoral Scholar, Psychiatry
BioCamila González is a postdoctoral scholar at the Computational Neuroscience Laboratory at Stanford University, where she develops continual learning methods suitable for dynamic settings with ongoing data collection. Her work has received multiple distinctions, including the MICCAI Young Scientist Award, the Francois Erbsmann Award at the Information Processing in Medical Imaging (IPMI) conference, and the Bildverarbeitung für die Medizin (BVM) award. She has been featured in outlets such as the Computer Vision News magazine and the AI-Ready Healthcare podcast. Outside her research, she presided over the MICCAI student board for two years and acted as Diversity, equity, and inclusion (DEI) chair for ContinualAI. Last year, she co-organized the first MICCAI tutorial on Dynamic AI in the Clinical Open World (DAICOW), which will have its second edition in MICCAI 2024.
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Alex J Goodell
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioAnesthesiologist and internist interested in artificial intelligence, design thinking in healthcare, open-source technology, and epidemiology.
I am currently a fellow in the Anesthesia Informatics and Media Lab where I focus on building tools to improve the user experience of patients and doctors. My current projects include medical usability analysis, evaluation of artificial intelligence, and improving real-time data access for anesthesiologists.
I completed medical school at the UC Berkeley - UCSF Joint Medical Program, followed by the Combined Internal Medicine/Anesthesiology Residency at the Stanford School of Medicine. -
Tal Gordon
Postdoctoral Scholar, Stem Cell Biology and Regenerative Medicine
BioI am a zoologist and molecular biologist interested in the molecular basis of regeneration. My research focuses on stem cells and regeneration in ascidians, a group of marine invertebrates that represent the closest living relatives of the vertebrates. One of the main questions that motivate my research is whether regeneration capabilities lost during evolution can, at least to some extent, be re-acquired. As regeneration is not universal in the animal kingdom, I hypothesize that comparing regeneration in species with distinct regenerative capacities will lead to the discovery of key components of regeneration.
During my postdoc I intend to use comparative genomics to identify conserved cellular and molecular mechanisms that underlie ascidians’ regeneration.
