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Sjoerd

van den Belt

I am a PhD student at the University of Twente with an interest in model and hardware co-design for machine learning. My main research focuses on integrating novel analog processing elements within digital accelerators for energy-efficient computer vision.My work on accelerating the detection of positive selection within genomic data combines theoretical knowledge on selective sweeps with hardware-aware machine learning model design. This approach leads to fast and energy-efficient inference on genomic data, that can be accelerated using dedicated hardware.

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Paper
Monday, June 16, 2025
17:30
-
18:00
CEST
Accelerated CNN-based Scans for Traces of Positive Selection

Author

Paper
Monday, June 16, 2025
17:30
-
18:00
CEST
Accelerated CNN-based Scans for Traces of Positive Selection

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This person is not authoring any poster.