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Chintan Shah is a Machine Learning Engineer with experience in developing augmentation policies to improve model robustness and generalization, evaluating clinical model robustness, and researching tissue segmentation techniques for understanding Biliary Tract Carcinoma growth patterns. They have worked at companies like PathAI, Khoury College of Computer Sciences, and Directi, and have a Master's degree in Computer Science from Khoury College of Computer Sciences. Chintan has also received awards for their research on using Graph Neural Networks to learn physical dynamical processes.