ISP’s Biomedical Informatics Research Track applies natural language processing, Bayesian modeling, and machine learning methods to health care tasks, including disease-outbreak detection and diagnosis, automated tutoring of medical trainees, and discovery of molecular disease biomarkers. The group is composed of physicians and other health care professionals, biologists, and computer scientists.
This research track includes projects that benefit both the public and research by grounding work in actual public health practice and by collecting surveillance data for algorithm validation and investigations into the value of different types of novel data for outbreak detection.
The group also focuses on genomic and proteomic data: analysis and data mining, data warehouses and repositories, Bayesian modeling and machine learning methods, natural language processing, intelligent tutoring systems and simulations, image analysis, consumer health informatics, and public health informatics and biosurveillance.
Primary Faculty
- Greg Cooper
- Madhavi Ganapathiraju
- Vanathi Gopalakrishnan
- Harry Hochheiser
- Xinghua Lu
- Fu-Chiang (Rich) Tsui
- Shyam Visweswaran
- Michael Wagner