School of Medicine


Showing 1-14 of 14 Results

  • Xiyu Ge

    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.

  • Joshua Gillard

    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.

  • Sneha Goenka

    Sneha Goenka

    Postdoctoral Scholar, Cardiovascular Medicine
    Stanford Student Employee, Hoover Institution

    BioSneha 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.

  • Bruna Filipa Gomes Botelho Quintas

    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.

  • Jessica Grembi

    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.

  • François Grolleau

    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.