How do we create new knowledge?
These four pillars represent the core scientific capabilities of the Datalab.
Artificial Intelligence & Machine Learning
“Learning from data”
Developing algorithms that learn from data.
Statistics & Data Science
“Reasoning under uncertainty”
Developing statistical methods that extract reliable knowledge and quantify
uncertainty.
Mathematical Modeling & Scientific Computing
“Understanding complex systems”
Developing mathematical models and computational methods to understand complex
systems.
Optimization & Decision Science
“Supporting optimal decisions”
Developing optimization algorithms for intelligent decision-making
These represent the domains in which our methodologies are combined to address important societal challenges.