Causality

Moving from prediction to decision-making, leveraging insights from causality.

Deep Learning

Adding more layers and adjusting the learning rates for victory and glory.

Fairness/Accountability

A primary focus of our lab is to understand the impact of deployed ML technology on social systems.

Healthcare

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.

Natural Language Processing

We are interested in a web of problems at the intersection of language, causality, deep learning, and interpretability.

Robustness

Researching principles for building systems that can be relied upon in the wild.