Research Topics

Artificial Intelligence (AI)

AI is the study of how to build computer programs that can learn to detect patterns from data.

Reinforcement Learning

RL is the study of learning decision making policies from experience with computers.

Manifold Learning

Manifold learning looks at ways to automatically extract meaningful features, dimensions or subspaces from data in order to build better models, expand data, reduce data, etc.

Machine Learning (ML)

ML is the study of how to build computer programs that can learn to detect patterns from data.

Causality

Using AI/ML to do moar Sciencing!

AI for Science

Using AI/ML to do moar Sciencing!

Multi-Agent Reinforcement Learning

MARL is the problem of learning how to make decisions from experience in the presence of multiple other decision making agents.

Autonomous Driving

Using computing to make driving safer.

Game Theory

Game theory is the mathematical study of competitive, or co-operative optimal decision making by multiple agents.

Mean Field Theory