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  • Former TU Delft
  • Randstad, Netherlands

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@vandeplaslab

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RogerMoens/README.md

I am a Research Engineer working on scalable algorithms for large-scale scientific data analysis with a strong interest in AI. My work sits at the intersection of machine learning, high-performance computing, and scientific computing, with a focus on making complex data (often terabyte-scale) tractable and interpretable. Currently specializing in AI and large language models (LLMs).

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  1. dask/dask dask/dask Public

    Parallel computing with task scheduling

    Python 13.9k 1.9k

  2. astro-rag astro-rag Public

    A Retrieval-Augmented Generation (RAG) system that leverages existing scientific papers, research notes, and reference materials to support the drafting of scientific manuscripts. The system retrie…

    Python

  3. vandeplaslab/full_profile vandeplaslab/full_profile Public

    Preserving Full Spectrum Information in Imaging Mass Spectrometry Data Reduction

    Python 3

  4. vandeplaslab/unipy vandeplaslab/unipy Public

    Math toolbox wrapping math capabilities of numpy, scipy and cupy and enabling smooth transition between input array changes e.g. from sparse to dense or CPU- to GPU-based.

    Python

  5. vandeplaslab/tulip vandeplaslab/tulip Public

    In-Silico Deconvolution of In-Situ Single-Cell Imaging Mass Spectrometry Signals

    Jupyter Notebook

  6. vandeplaslab/hannibalspecter vandeplaslab/hannibalspecter Public

    Dimensionality Reduction Methods for Imaging Mass Spectrometry

    Python 1