Jonathan Foldager

Jonathan Foldager is a Machine Learning Engineer with recent experience at Apple, focusing on Apple Intelligence features within the Camera & Photos team. Prior roles include a Machine Learning Intern on explainable AI projects, alongside teaching and research positions at DTU - Technical University of Denmark, where Jonathan taught various engineering and machine learning courses and contributed to projects in computational neuroscience and treatment response prediction in schizophrenia. As a Visiting PhD Student at the University of Oxford, Jonathan explored the theory of noisy shallow quantum circuits related to quantum machine learning. Jonathan holds a PhD in Machine Learning and Quantum Computing from DTU and has additional experience as a Fullstack Developer at Doolexia.