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My research focuses on multimodal time series learning and foundation model development, particularly on integrating sequential, textual, and structured signals for real-world decision-making.
I am particularly interested in Transformers, large language models, and reinforcement learning, as well as in how foundation models can better understand, forecast, and act on complex temporal data.