Department of Computational Science and Engineering
Georgia Institute of Technology
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My research focuses on time-series forecasting with leveraging attention, causality, graph models, and physics regularization methods. These research results have made real-world influences such as Flu and COVID-19 forecasting challenges organized by CDC.
I am also interested in pre-trained foundation models and applications of LLMs in time series tasks. Previously, my research spanned physics-informed neural networks with the advice of Prof. Aarti Singh, and federated learning under the advice of Prof. Gauri Joshi at Carnegie Mellon University.