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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Former TU Delft
- Randstad, Netherlands
Pinned Loading
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astro-rag
astro-rag PublicA 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
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vandeplaslab/full_profile
vandeplaslab/full_profile PublicPreserving Full Spectrum Information in Imaging Mass Spectrometry Data Reduction
Python 3
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vandeplaslab/unipy
vandeplaslab/unipy PublicMath 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
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vandeplaslab/tulip
vandeplaslab/tulip PublicIn-Silico Deconvolution of In-Situ Single-Cell Imaging Mass Spectrometry Signals
Jupyter Notebook
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vandeplaslab/hannibalspecter
vandeplaslab/hannibalspecter PublicDimensionality Reduction Methods for Imaging Mass Spectrometry
Python 1
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