I am a second year Ph.D. student at New York University, advised by Prof. Rumi Chunara. I am a member of ChunaraLab and ViDA.

I have broad interests in the intersection of deep learning for computer vision and algorithmic fairness. My current research aims to unpack bias source for real-world vision datasets and develop fairness methods. With that goal, I have explored topics of self-supervised learning, transfer learning.

Previously, I obtained my Masters degree in CCRMA from Stanford University, where I performed research in federated learning for medical image analysis at QIAI advised by Prof. Daniel Rubin. I finished my undegrad in Electrical Engineering at Beijing University of Posts and Telecommunications, when I started the machine learning journey advised by Prof. Dong Wang in Tsinghua University.