School of Medicine


Showing 431-440 of 1,625 Results

  • Camila Gonzalez

    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.

  • Alex J Goodell

    Alex J Goodell

    Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
    Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine

    BioAnesthesiologist and internist interested in artificial intelligence and large language models in medicine. Currently, my primary focus is on developing and evaluating applications of large language models to improve the "user experience" of patients (who spend too much time fighting the system that is tasked with healing them) and doctors (who spend too much time fighting the system that is supposed to help them be healers).

    Interests:
    - Benchmarking LLMs as clinical calculators
    - Medical summarization by LLMs
    - Agentic /tool-using language models
    - GenerativeAI for Medical Education and Simulation
    - Data equity in LLMs
    - Novel benchmarks for clinical LLMs, including simulation
    - Participatory research, open-source software

    I'm a Clinical Scholar in the Dept of Anesthesiology and a Post-Doctoral Fellow in Anesthesiology / Biomedical Data Science in the lab of Nima Aghaeepour.

    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, and a fellowship in Anesthesia Informatics at the Stanford AIM Lab.

  • Tal Gordon

    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.

  • Anne Claire Grammer

    Anne Claire Grammer

    Postdoctoral Scholar, Psychiatry

    BioFellowship: Stanford University Child Psychology Postdoctoral Fellowship
    PhD Training: Washington University in St. Louis
    Undergraduate: Bryn Mawr College

  • 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.