Machine learning and its applications. Current focus includes the following topics:

• Uncertainty quantification in machine learning

• Low-level computer vision

• Pathological image analysis

Other directions of interest:

• Bayesian modeling

• Meta-learning

Topics that have been explored in the past but are no longer a primary focus:

• Low-rank matrix/tensor analysis

• Noise modeling