BIOGRAPHY
I am an AI Research Scientist at GE Healthcare. Before that, I was fortunate to work as a Postdoc at MIT, under the guidance of Prof. Tess Smidt. I completed my Ph.D. in Computer Science at UC San Diego, where I had the privilege of being advised by Prof. Rose Yu. Throughout my Ph.D. studies, I had the opportunity to work as a research intern at Google Cloud AI, AWS, Berkeley Lab, and Lawrence Livermore National Lab.
My research spans AI for healthcare, AI for science, geometric deep learning, and spatiotemporal modeling, with a focus on integrating scientific knowledge into deep learning models to enhance their accuracy, interpretability, and generalization for large-scale complex tasks.
Selected Publications
Advances in Neural Information Processing Systems (NeurIPS) 2024
International Conference on Machine Learning (ICML) 2024
Proceedings of the National Academy of Sciences (PNAS) 2024
International Conference on Learning Representations (ICLR) 2023
Advances in Neural Information Processing Systems (NeurIPS) 2022
International Conference on Machine Learning (ICML) 2022
International Conference on Learning Representations (ICLR) 2021
Annual Conference on Learning for Dynamics and Control (L4DC) 2021
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020