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  At the moment, my research briefly touches the theory and application of machine learning. On the theory side, I help neural networks learn better representations in the latent space, and one of my most recent work focus on modeling spatial-temporal dynamics in irregularly-sampled image series. On the application side, I extend my research to medical imaging, proteomics and other biomedical data.

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.