Basic Info:
I currently work on computational models and learning algorithms to understand contextual processing in the brain.
Focused on the problem of vision, I investigate representations that take into account
spatial and temporal contexts and also the influences of attention and the particular task;
all within the processing levels of the cortical hierarchy.
I am also interested in how information can be represented to integrate multiple data modalities and how this gives rise to intelligent behaviour.
My broad research interests are machine learning and information theory and their applications to signal processing,
computer vision and computational neuroscience.
Previously, I worked as a postdoctoral associate with Professor
Odelia Schwartz in the Computer Science Department at the University of Miami.
I worked as a research scientist at
AventuSoft
where I developed machine learning algorithms for acoustic analysis using deep learning and sparse methods.
I obtained my PhD from the
University of Florida working at the
Computational Neuro-Engineering Laboratory (CNEL) with professor
José C. Príncipe.
