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@AshleyLab

Ashley Lab

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The Ashley Lab 🫀

The Science of Precision Medicine 🩺

We are a multidisciplinary research group in the Stanford School of Medicine 🌲⚕️ led by Dr. Euan Ashley. Our work sits at the intersection of genomics, artificial intelligence, and clinical medicine, with the goal of translating discoveries into better diagnostics and therapeutics for patients.

Our two biggest areas of focus are AI and the human genome. We are deeply interested in extremes: of human performance, of comparative biology, and of disease. We are fascinated by the heart: how it develops, adapts, contracts, and fails. Our team spans mathematicians, molecular biologists, physicians, genetic counselors, and engineers, from undergraduates to junior faculty.

Research Areas

🧬 The Human Genome · Whole genome sequencing, variant interpretation, and clinical genomics through the Stanford Center for Inherited Cardiovascular Disease and the Undiagnosed Diseases Network.

🤖 Artificial Intelligence · Large language models for genomic analysis, protein design for next generation gene therapy vectors, and AI driven clinical decision support across imaging and multi modal data.

🏃 Human Performance · Genomics of elite athletes (The ELITE Study), the molecular map of exercise (MoTrPAC), and digital health through the My Heart Counts app.

🧫 Cardiac Biology · Single cell and iPSC derived cardiomyocyte models to study cardiomyopathy, from whole heart physiology down to individual cells.

Links

🔗 Lab Website · ashleylab.stanford.edu

📄 Publications · Google Scholar · PubMed · ashleylab.stanford.edu/publications

📬 Contact · ashleylab-inquiries@stanford.edu

🐦 News · ashleylab.stanford.edu/in-the-news

Popular repositories Loading

  1. OpenMHC OpenMHC Public

    Python 92 10

  2. deepbeat deepbeat Public

    DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices

    Jupyter Notebook 34 10

  3. MARCUS MARCUS Public

    Python 21 5

  4. stmp stmp Public

    Sequence to Medical Phenotypes: A pipeline featuring variant annotation, prioritization, pharmacogenomics, and tools for analyzing genomic trios (mother, father, child).

    Python 13 3

  5. scotch scotch Public

    Scotch pipeline for indel calling.

    Python 10 2

  6. myheartcounts myheartcounts Public

    A collection of utilities, analytics for mobile health data

    Jupyter Notebook 9 2

Repositories

Showing 10 of 27 repositories
  • OpenMHC Public
    AshleyLab/OpenMHC's past year of commit activity
    Python 92 10 44 (1 issue needs help) 21 Updated Sep 17, 2026
  • MARCUS Public
    AshleyLab/MARCUS's past year of commit activity
    Python 21 5 0 1 Updated Jun 2, 2026
  • vesper Public
    AshleyLab/vesper's past year of commit activity
    Jupyter Notebook 0 MIT 0 0 11 Updated May 11, 2026
  • AshleyLab/minigene_pipeline's past year of commit activity
    Python 0 Apache-2.0 0 0 9 Updated Mar 9, 2026
  • .github Public

    AshleyLab/.github is a special repository used to store the public org README

    AshleyLab/.github's past year of commit activity
    0 0 0 0 Updated Feb 22, 2026
  • mhc_activity_recommender Public

    recommender system of activities for users in MHC 3.0 coaching studies

    AshleyLab/mhc_activity_recommender's past year of commit activity
    Python 1 1 1 0 Updated Jun 22, 2022
  • lvh-fusion Public
    AshleyLab/lvh-fusion's past year of commit activity
    Python 5 MIT 3 0 0 Updated Mar 22, 2022
  • myheartcounts Public

    A collection of utilities, analytics for mobile health data

    AshleyLab/myheartcounts's past year of commit activity
    Jupyter Notebook 9 2 3 0 Updated Feb 28, 2021
  • mhc_data_parsers Public

    data parsers for MyHeartCounts coreMotion, HealthKit, XML exports

    AshleyLab/mhc_data_parsers's past year of commit activity
    Python 0 0 0 0 Updated Aug 16, 2020
  • deepbeat Public

    DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices

    AshleyLab/deepbeat's past year of commit activity
    Jupyter Notebook 34 GPL-3.0 10 3 0 Updated May 26, 2020

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