Computing, Analytics, and Modeling
The Computing, Analytics, and Modeling Science Area focuses on using state-of-the-art experimental data to develop a predictive understanding of biological and environmental systems through advanced data analytics, visualization, and computational modeling and simulation. Our cohesive approach to integrating experimental and computational methods advances predictive approaches to biodesign for biofuel and bioproduct production and accelerates research to understand the molecular mechanisms underlying biological and hydro-biogeochemical processes controlling the flux of materials, such as carbon, nutrients, and contaminants, in the environment.
