I was a Ph.D. student in the Department of Statistics. I employ techniques from deep learning and bayesian statistics to shed light on the mechanism of complex human diseases. I am generally interested in developing interpretable and scalable algorithms to uncover the underlying structure of biological data. Before that, I obtained my Master’s Degree in Biostatistics from the University of Washington, working on matrix completion and cell type deconvolution problems with Noah Simon.

Besides research, I am a food enthusiast. I love cooking, exploring local restaurants, watching food & cooking documentaries and brewing coffee and tea. I do weight training from time to time so that I can enjoy more food.

Research interests:

• Computational Biology
• Bayesian Statistics
• Deep Learning
• Graphical Model