Data Driven Medicine Primary Instructor: Nigam Shah Methods for analyzing electronic health records using machine learning, NLP, and text-mining to answer clinical research questions. Computational Methods for Biomedical Imaging Primary Instructor: Mirabela Rusu Foundational techniques for processing, analyzing, and interpreting biomedical images for scientific discovery and clinical applications. Computational Applications of High-Throughput Protein Data for Machine Learning Primary Instructor: Russ Altman Hands-on computational methods for analyzing high-throughput protein data, from gene expression matrices and protein language model embeddings to microscopy-derived features, training machine learning models for classification, function prediction, and data integration across modalities.