Welcome to the Machine Learning for Data-Driven Decisions Group at the University of Michigan!
We work at the interface of artificial intelligence (AI), machine learning and healthcare.
Our current research portfolio focuses on major public health problems – including infectious disease, Alzheimer’s disease and diabetes, among others. We develop and apply state-of-the-art AI and machine learning methods to analyze large longitudinal health datasets. Our work spans several aspects of AI including time-series analysis, reinforcement learning and causal inference. We aim to develop the computational methods needed to help organize, process, and transform data into actionable knowledge with the ultimate goal of improving health.
You can contact the group by emailing Dr. Jenna Wiens at email@example.com
Jenna Wiens recognized with Sloan Research Fellowship
Prof. Jenna Wiens has been selected for a 2020 Sloan Research Fellowship by the Alfred P. Sloan Foundation for her work harnessing patient data to improve healthcare outcomes.