Faculty Facilitator: Rumi Chunara, PhD (Health, Sciences and Technology)
The overarching goal of the Chunara Lab is to develop computational and statistical approaches for acquiring, integrating and using data to improve population-level public health. Considering health from a comprehensive, multi-level perspective means that the data we use comes from both inside and outside the clinic.
To achieve this goal, we make impact in computer science by addressing a range of technical questions inspired by the opportunity of new data sources in health. The main challenge is that the data are unstructured and the relevant features must be identified. Thus we develop computational methods across data mining, natural language processing, and machine learning to generate features and incorporate these into spatio-temporal population-level models to address public health priorities.