Alan Hubbard, Professor of Biostatistics and Epidemiology at the School of Public Health, will be working with project leader, Justin Remais, Associate Professor of Environmental Health Sciences, on research that has received $3.6 million in funding from NIH. The research team has been given the 5-year grant to focus on creating novel ways to simulate and optimize surveillance networks that identify infectious diseases.
As one of the principal faculty in Berkeley’s Center for Targeted Machine Learning and Causal Inference, Professor Hubbard will contribute to the development, implementation, and dissemination of signature approaches for exploiting new health datasets.
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