Research Interests:
Multi-environment Learning, Causal Inference, Fairness.
Research Centers, Labs, and Groups
Chunara Lab
The overarching goal of our research is to develop the principles needed to incorporate unstructured, Internet and mobile data into a better understanding of population-level health. We primarily develop computational methods across data mining, natural language processing, and machine learning to generate features for spatio-temporal population-level public health models.
Visualization and Data Analytics Center
ViDA consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data demands.
