I'm interested in machine learning algorithms, which are algorithms capable of extracting concepts and abstractions from data.

My current topic of interest is how to use unsupervised learning methods to improve the performance of models on supervised problems for which labeled data are available. In particular, I'm interested in applying these models on problems where the input data is high dimensional, like for images, texts or sounds.