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transmitting vast amounts of data, this global infrastructure holds an extraordinary potential: it can also serve as a real-time sensor for earthquakes. In this project, we explore that potential by developing
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-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and
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