Professor Doshi-Velez is excited about methods to turn data into actionable knowledge. Her core research in machine learning, computational statistics, and data science is inspired by---and often applied to---the objective of accelerating scientific progress and practical impact in healthcare and other domains.
Specifically, she is interested in questions such as: How can we design robust, principled models to combine complex data sets with other knowledge sources? How can we design models that summarize and generate hypotheses from such data? How can we characterize the uncertainty in large, heterogeneous data to provide better support for decisions? Professor Doshi-Velez is interested in developing the probabilistic methods to address these questions.