Luca Thiede is a machine learning researcher and engineer with nine years of experience bridging academic research and industry, currently a PhD student at the University of Toronto and a Machine Learning Intern at NVIDIA. He has applied deep learning to scientific and applied domains—ranging from autonomous driving research at Volkswagen IECC to AI4Science work at Microsoft—and has hands-on experience with Python, Java, and Android development. His background in physics and early research on image segmentation (including U-Net) informs a rigorous approach to model design and evaluation. As a founder of an Android startup, he brings product-minded engineering and mobile expertise to ML projects, alongside a demonstrated interest in entrepreneurship. Based in Toronto, he combines academic depth with practical implementation skills to move novel ML ideas toward real-world impact.
9 years of coding experience
5 years of employment as a software developer
No Degree Mechanical Engineering, No Degree Mechanical Engineering at RWTH Aachen University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
Master's degree Physics, Master's degree Physics at The University of Göttingen
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