School of Medicine
Showing 1-50 of 68 Results
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Yuanyuan Gao (She/Her)
Postdoctoral Scholar, Psychiatry
BioYuanyuan Gao completed her PhD at Rensselaer Polytechnic Institute. Her PhD thesis researched the effects of neuromodulation on human motor learning using functional near-infrared spectroscopy (fNIRS). She finished her first postdoctoral training term in Dr. David Boas' lab in Boston University on advanced fNIRS data analysis. She is now a postdoctoral fellow working at Stanford University for her second term of postdoctoral training on the clinical applications of fNIRS. Her research interests are fNIRS, its multimodels with fMRI, EEG, eye-tracker, physiology measurements, neuromodulation and machine learning models, and its applications in clinical research.
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Xiyu Ge
Postdoctoral Scholar, Endocrinology, Gerontology, and Metabolism
Current Research and Scholarly InterestsI’m interested in understanding parathyroid hormone (PTH) signaling and its role in bone remodeling and the bone marrow microenvironment during critical growth periods. My research investigates how PTH influences osteoblast function and interacts with other signaling pathways. Using advanced single-cell sequencing and multi-omics approaches, I aim to uncover cellular and molecular pathways influenced by PTH, elucidate pediatric bone disorders, and identify potential therapeutic targets.
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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
Postdoctoral Scholar, Pathology
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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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 Instructor, 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. -
Jessica Grembi
Postdoctoral Scholar, Infectious Diseases
BioEnvironmental enteric dysfunction (EED) affects 50-90% of children in low-income countries and is likely an important factor in child stunting as it impedes efficient nutrient uptake in the small intestine. EED is suspected to be the result of persistent exposure to enteric pathogens, although it has not been correlated with any specific pathogen. My research explores the interplay of gut microbiota, including enteric pathogens, and the host immune system with a focus on understanding EED so we can rationally design treatments and preventive measures.
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François Grolleau
Postdoctoral Scholar, Biomedical Informatics
BioFrançois Grolleau MD, MPH, PhD is a Postdoctoral Scholar at the Stanford Center for Biomedical Informatics Research. His research work centers on developing and evaluating computational systems that use retrieval-augmented language models and other advanced methods from statistics and machine learning to assist medical decision-making.
François is a certified Anesthesiologist and Critical Care Medicine specialist from France. He holds an MPH degree and a PhD in Biostatistics from Paris Cité University. In 2016/2017, he worked as a research fellow in the Department of Health Research Methods, Evidence, and Impact at McMaster University, Canada (Profs Yannick Le Manach and Gordon Guyatt). During his doctorate with Prof. Raphaël Porcher, he utilized causal inference, personalized medicine methods, and statistical reinforcement learning for medical applications in the ICU. -
Jiaqi Gu
Postdoctoral Scholar, Neurology and Neurological Sciences
BioI am a postdoctoral scholar in Department of Neurology & Neurological Sciences, Stanford University and under supervision of Dr. Zihuai He. Before that, I obtained my PhD degree in statistics under supervision of Prof. Philip L.H. Yu and Prof. Guosheng Yin in University of Hong Kong and my bachelor degrees in statistics from Renmin University of China.
My researches concentrate on preference learning, network data modeling, quantitative analysis of survival and public health data, high-dimensional statistical inference with geometric information and statistical genetics.