My academic career is interleaved with industrial work and spans from Speech and Natural Language Processing (NLP) to general and applied data science.

I am interested in real-world problems that involve a novel or non-trivial application of deep-learning over large amounts of data. Data types of interest could be structured or unstructured (e.g. text, images or time series of Brain MEG signals).  I am particularly interested in problems that involve challenges that can be generalized as interesting research topics in the core data science disciplines.