My name is Shengpu Tang (唐笙普), and I am a PhD candidate in the division of computer science & engineering at the University of Michigan. I'm a member of the Machine Learning for Data-Driven Decisions (MLD³) research group led by Jenna Wiens, under the Michigan AI Lab.

My research focuses on developing and applying machine learning methods to help solve important problems related to healthcare. While motivated by specific use cases (such as risk stratification and dynamic treatment recommendation for various diseases and medical conditions), my work aims to identify interesting technical challenges and propose novel solutions that are broadly relevant to fundamental AI/ML research. My past contributions span the technical areas of reinforcement learning, deep learning, time-series and sequential data modeling, transfer learning, fairness, and I hope to apply my knowledge and expertise to interdisciplinary problems in healthcare and beyond.

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