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.