I am looking for a research internship (Summer 2025). Please let me know if you have opportunities in spatial-temporal modeling, multimodal learning, self-supervised learning, manifold learning, AI in healthcare, or related fields.

I am a Ph.D. student in computer science at Yale University (2022~) advised by Prof. Smita Krishnaswamy. I received my M.S. from Columbia University (2018~2020), and I did my undergraduate studies at a liberal arts college, Bucknell University (2014~2018).

Research Areas  I investigate the theory and applications of deep learning, and I spent some efforts in a few areas: (1) modeling time-varying dynamics of image sequences, (2) fusing multiple modalities, (3) learning from limited or no labels, and (4) organizing representations on the neural network manifolds.

During the second half of my Ph.D., I would like to endeavor a more specialized direction, which is modeling the spatial-temporal dynamics of complex systems, such as the disease progression revealed in medical images acquired over time.

Experience  Prior to my Ph.D., I first served as a full-time research assistant at Columbia University Medical Center (2020) in a medical imaging lab. The next year, I went to the industry and joined a startup company Matic (2021) and developed SLAM algorithms for housekeeping robots. Following that, I worked as a Senior Research Scientist at GE Healthcare (2021~2022), on deep learning in medical imaging applications, where I co-invented 2 patents.