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@gryaklab

Interdisciplinary Data Science Lab (IDSL)

The Interdisciplinary Data Science Lab (IDSL) works to solve problems in biomedical informatics and computer science by developing novel artificial intelligence/machine learning methods that can leverage a problem’s underlying morphology and work within its operational limitations.

We then translate these techniques to commercial settings where they may make a broader impact on society.

Learn more at https://idsl.gryak.org.

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  1. mdbench mdbench Public

    [AAAI 2026 Oral] The official repo for the paper "MDBench: Benchmarking Data-Driven Methods for Model Discovery"

    Python 6 1

  2. .github .github Public

  3. llm-ode llm-ode Public

    [GECCO 2026] The official repo for the paper "LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models"

    Python 1

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