Moving from prediction to decision-making, leveraging insights from causality.
Adding more layers and adjusting the learning rates for victory and glory.
A primary focus of our lab is to understand the impact of deployed ML technology on social systems.
Our work focuses on applications of machine learning in a variety of problems in clinical healthcare and more recently, to aid coronavirus response efforts, in public health.
We are interested in a web of problems at the intersection of language, causality, deep learning, and interpretability.
Researching principles for building systems that can be relied upon in the wild.