Chieh-Hsin (Jesse) Lai (賴杰昕)

Currently

I am a research scientist and tech lead at Sony AI’s Music Foundation Model Team, focusing on deep generative modeling and robustness, particularly the foundations of diffusion models in collaboration with Prof. Stefano Ermon. Additionally, I am a Visiting Assistant Professor at National Yang Ming Chiao Tung University’s Applied Mathematics Department, where I collaborate and supervise students with Prof. Ming-Chih Lai on deep learning methods for partial differential equations.

My current research centers on enhancing diffusion models, emphasizing sample quality/diversity, sampling speed, and controllable generation. I am also interested about inverse problems, particularly in media restoration, utilizing generative models. Additionally, I explore mathematically explainable AI, aiming to unravel the intricacies of artificial intelligence through rigorous mathematical frameworks.

Previously

I earned my Ph.D. in Mathematics from the University of Minnesota – Twin Cities in May 2021. Under the supervision of Prof. Gilad Lerman and in close collaboration with Prof. Dongmian Zou, my research centered on constructing outlier robustness models and developing methodologies for outlier detection. I obtained my Bachelor’s degree in Mathematics from National Tsing Hua University, Taiwan in 2015. Here is my Mathematics Genealogy.