Mathematics in Computation

Creating the mathematics and architecture-aware algorithms that harness machines, ideas, and data, that enable far reaching scientific breakthroughs

The Mathematics in Computation Section creates the mathematics and architecture-aware algorithms that harness machines, ideas, and data, enabling far reaching scientific breakthroughs.

Our capabilities span foundational aspects of data analysis and artificial intelligence, discrete systems and methodologies, the dynamics of complex natural and engineered systems, operations research and statistics.

Groups

Data Analytics and Machine Learning
Data Analysis and Machine Learning

Developing algorithms and foundations for data analysis and machine learning

Discrete Algorithms
Discrete Algorithms

Developing novel algorithms and foundations for discrete structures, including AI, graph algorithms and discrete optimization

Multiscale Methods
Multiscale Methods

Developing algorithms and foundations for methods spanning multiple time and length scales

Systems and Decision Science
Systems and Decision Sciences

Developing algorithms and foundations for engineered systems