Daniel Suess is an AI Performance Team Lead at Canva CORE, bringing a strong background in machine learning and theoretical physics. They have a PhD from the University of Cologne and completed various research roles, including a PhD researcher at the University of Freiburg and visiting positions at Griffith University and the Max Planck Institute. Their professional experience includes senior roles at Silverpond and Max Kelsen, and they are currently a Principal Data Scientist at Nearmap. Passionate about transforming advanced technologies into impactful products, they excel in problem-solving within the computer vision domain.
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