We are developing transformative and scalable computing and data science technologies to address fundamental problems in real-time epidemic science. Learn more by selecting a topic below.
|
|
Forecasting and Situation Assessment for Real-Time Epidemic Science With the increased interest in epidemic forecasting and situational assessment during the COVID-19 pandemic, our team members have been actively involved with state and federal agencies. |
|
|
|
Our team is developing fundamental and generalizable computational advances in science and engineering of MSML networks; AI, theory-guided machine learning, and massive data science; and calibration, validation, and uncertainty quantification. |
|
|
|
Pervasive Scalable Technologies & Cyber-environment We will use innovative computing to advance epidemiological science in the areas of scalable high-performance simulations, analytics, & ML and a cyber-environment for real-time epidemic science. |
|
|
|
Applications to Epidemic Science We have built cohesive teams to actively engage on problems of societal importance, focusing on multi-scale, multi-factor, multi-layer network modeling and planning and response for real-time epidemic science. |
|
