CHARLES CHRISTENSEN

Charles Nicklas Christensen is a researcher specialising in computer vision, with experience in deep learning, super-resolution, image segmentation, and image classification. While working towards his PhD at the University of Cambridge, he explored computer vision techniques in the context of optical microscopy using deep learning. Some of the methods he has contributed with include ML-SIM , ERnet and VSR-SIM ... Within the industrial domain, he has contributed to the development and implementation of scalable deep learning solutions. During his time at Tesco Technology, he focused on metric learning to enable large-scale product recognition in retail environments. While at ONI, he has developed and deployed deep learning methods for spectral demixing, image segmentation, and super-resolution reconstruction in the setting of big data... His other interests include physics, mathematical modelling, artificial intelligence and deep learning across various applications.