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. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models
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collaboration with researchers across VIB centers , applying state-of-the-art methods to cutting-edge biomedical questions. Design, implement, and evaluate ML and foundation-model approaches, including LLM
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architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of
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architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling
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solutions in close collaboration with researchers across VIB centers , applying state-of-the-art methods to cutting-edge biomedical questions.Design, implement, and evaluate ML and foundation-model
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction
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to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi
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to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and