Data Science Lab

We are a research group at the University of Michigan. Our focus is on developing machine learning and decision-making methodologies that facilitate the transformation from an information rich to a decision smart system. Our research currently involves Bayesian deep learning, rethinking kernels methods specifically Gaussian processes, Bayesian optimization and approximate inference than can help generalization. 

We believe in reproducible research and most papers have a code attached with them. Please check our Publications page.


Seokhyun Chung (PhD Student)

 


Xubo (Max) Yue (PhD Student)

 


Moyan Li (PhD Student)