My research interests lie in machine learning, deep learning, and their applications to advance digital health.
I work on improving the robustness and generalization of machine learning models across underrepresented and out-of-distribution data to enable real-world capabilities at scale.
I also develop novel learning algorithms and models to sense and understand human health with multimodal data.
Gave an invited talk on deep imbalanced regression at Tsinghua AI TIME.
Gave an invited talk on learning from imbalanced data at MMLab @ NTU.