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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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jmaasch/README.md

J R M A M

I am a PhD student in Computer Science at Cornell Tech. I work at the intersection of machine learning and causality.

📚 Read more about my work @ ResearchGate | Google Scholar | LinkedIn.

Research interests

🖥️ 🔢 Machine learning; causality; causal graphical models; probabilistic, generative, and latent variable models; low data regimes.

🔬 💊 Scientific computing; computational biomedicine; drug development; bias detection in healthcare.

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  1. ldp ldp Public

    Local Discovery by Partitioning: Polynomial-Time Causal Discovery around Exposure-Outcome Pairs

    Python

  2. LD3 LD3 Public

    Local Causal Discovery for Structural Evidence of Direct Discrimination

    Jupyter Notebook

  3. sanzo sanzo Public

    R Color Palettes Based on the Works of Sanzo Wada – A CRAN Package

    HTML 29 2

  4. pennR pennR Public

    Color palettes for R data visualization based on the official school colors of the University of Pennsylvania.

    R 3 1

  5. ashR ashR Public

    Bespoke interpolated color palettes for data visualization in R.

    R 1