I am a fifth year Ph.D. candidate at New York University, advised by Prof. Rumi Chunara. I am a member of ChunaraLab and ViDA. Currently, I mainly work on reliable AI: model generalizability and bias mitigation for my Ph.D. degree. I received my Master degree from Stanford University in CCRMA, when I performed research in federated learning for medical image analysis at QIAI advised by Prof. Daniel Rubin. In my undergrad, I worked with Prof. Dong Wang at Tsinghua University on speech processing and recognition.

I have broad interests in:

Responsible AI: Algorithmic fairness, data debiasing, and out-of-domain generalization.

Computer vision and multimodal: Label efficient representation learning.

Health and environmental science: To adapt pre-trained deep neural networks and foundation models for domain specific applications.