Matthijs Van keirsbilck

Matthijs Van keirsbilck is a talented individual with a strong background in Electrical Engineering and a focus on machine learning and neural networks. He joined NVIDIA Research in 2017, where he has been actively involved in developing resource-efficient neural network architectures through techniques like sparsity, quantization, and architecture optimization. His work also extends to speech recognition and the fundamentals of machine learning. Prior to his role at NVIDIA, Matthijs obtained his Masters in Electrical Engineering from KU Leuven and TU Munich, specializing in hardware IC design. His thesis delved into the realm of Deep Learning, specifically exploring speech recognition using Neural Networks combined with audio-visual sensor fusion with CNN-LSTM networks and attention mechanisms.