Nahid Bhadelia

EAGER: The Biothreats Emergence, Analysis, and Communications Network (BEACON)

This project will develop an open-source Large Language Model that will be able to identify, verify, prioritize, summarize and predict outcomes of disease emergence events in humans, other animals, and plants. That model will link detected signals and model outputs to human verification and public health context with the goal of sharing event reports on […]

PIPP Phase I: Predicting and Preventing Epidemic to Pandemic Transitions

The COVID-19 pandemic and its effects, both in terms of the millions of lives lost and the trillions in estimated costs, are a recent example of the devastation pandemics can cause. Any discernible progress in the prediction, early detection, and rapid response would have significant impacts on human welfare. The overarching goal of this project […]