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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 an AI research scientist in New York City. I received my PhD in computer science at Cornell University, with a minor in applied probability and statistics. I am interested in machine learning for reasoning and decision-making under uncertainty. This includes open problems in AI reasoning, causal inference, and reinforcement learning.

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

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  1. causal_arc causal_arc Public

    CausalARC: Abstract Reasoning with Causal World Models

    Python 1 1

  2. compositional_causal_reasoning compositional_causal_reasoning Public

    [ICML '25] Automatic task generation for compositional causal reasoning (CCR) evaluation in language models.

    Jupyter Notebook 1 1

  3. ldp ldp Public

    [UAI '24] Local Discovery by Partitioning: Polynomial-Time Causal Discovery around Exposure-Outcome Pairs

    Python 1

  4. LD3 LD3 Public

    [AAAI '25] Local Causal Discovery for Structural Evidence of Direct Discrimination

    Jupyter Notebook 1

  5. sanzo sanzo Public

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

    HTML 43 2

  6. ashR ashR Public

    Bespoke interpolated color palettes for data visualization in R.

    R 1