I develop novel algorithms and models for artificial intelligence and machine learning applications.
My current research interest is in the following areas:
- Probabilistic deep learning methods for unsupervised learning and semi-supervised structured prediction;
- Consequences of model misspecification on estimation and on decision problems;
- Understanding agent complexity in order to improve learning efficiency;
- Designing models for reasoning and planning.
In terms of methodology I am interested in structured prediction, deep learning, Monte Carlo methods, and decision theory.
My work has found industrial applications in computer vision, cloud-based machine learning, gesture recognition, statistical image processing, numerical optimization, and in time-of-flight imaging.