Software

I enjoy developing software, many of which help solve difficult research problems. Selected projects are highlighted, and you can find many of them on GitHub.

  • Leah

    A powerful, compassionate tool that empower doctors to deliver faster, smarter, and more human care.

    • Typescript
    • SQL
    • Google Cloud
    • React JS
    • Tailwind CSS
    • Next.js

  • iRemedyACT

    An AI-driven tool to inform trauma care policy.

    • Python
    • PyTorch
    • scikit-learn
    • SQL
    • Google Cloud
    • React JS
    • Tailwind CSS
    • Next.js

  • treeple

    Extends scikit-learn decision trees to do oblique splits, manifold learning, hypothesis testing, etc.

    • Python
    • Cython
    • scikit-learn

  • hyppo

    An open-source software package for multivariate hypothesis testing, closing the gap with R.

    • Python
    • scikit-learn
    • CircleCI

  • sampan.me

    This website, which takes inspiration from tempertemper.net.

    • 11ty
    • SCSS
    • JS
    • Cloudflare

  • FiPhA

    A robust and user-friendly package for fiber photometry analysis.

    • R
    • Shiny

  • scipy.stats.multiscale_graphcorr

    Multiscale Graph Correlation is a powerful multivariate correlation test (the first such test in SciPy).

    • Python
    • Cython