Willem Verbeke

I completed my PhD in particle physics at CERN's CMS experiment, focusing on leveraging deep learning to enhance searches for new physics. Seeking a career with real-world impact, I transitioned to deep learning engineering at Zenseact, initially specializing in object detection. Later on, I helped build the foundation for Zenseact's next-generation deep learning models that do sensor and temporal fusion. This transition led to the creation of a new "Deep Learning Data Enrichment" area, which I now lead. This area aims to automate annotation processes with large offline models and mine high-value data.