Felix Yu

Felix Yu is a Machine Learning Engineer with extensive experience in developing deep-learning architectures and deploying predictive models. Currently at The AI Institute, Felix previously held positions at Iterative Health and Reverie Labs, focusing on advanced machine learning techniques, particularly in graph neural networks and transformers for molecular data. As a PhD candidate at Princeton University, Felix contributed to research on deep-learning applications in action detection and object recognition. Additional experience includes a software engineering internship at Meta and a research assistant role at Johns Hopkins University, where Felix pioneered projects in automated feedback for surgical training. Felix holds a Master of Arts in Computer Science from Princeton University and a Bachelor of Science in Computer Science and Biomedical Engineering from The Johns Hopkins University.