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"This world is but a canvas to our imagination"

Henry David Thoreau




I love to struggle with technically challenging problems. I enjoy having people using my research for real! 

Curiosity is the word that probably best describes my character. Having doctoral degrees in medicine and computer science may seem proof of this curiosity.

Having worked on social constructivism theories and their relation to IT, having performed experiments on animals to measure the electrical activity of excitable cells and deployed large cloud computing environments for big telcos, or analytic systems for large IT corporations are just part of the picture.

The truth is I have always been fascinated by the way our brain works, what is the substrate for memory, learning and (more philosophically) consciousness. Reading about Gaia in Asimov's "Foundation's Edge" as a kid sparkled this constant chase to understand more about learning in human and computer brains. 

I am also a very pragmatic person. 

My research has been applied to a series of products, received a lot of international attention and one of them awarded as one of the top most innovative 5 inventions in 2010 by Gartner (see Patents). I was actively involved in designing and developing Telefonica's cloud and delivered large scale data analytics systems for HPE. Working as a Principal Data Engineer for Dyson in the IoT space.

From a more academic angle, I enjoy lecturing and presenting (part of) the stuff we build to the community to get feedback and hear criticism. I have published 30 JCR papers (including generalist journals like Nature (Sci Rep), the 2nd best journal in cardiology and the World's 30th most cited article in computer science in 2009) and several conference papers (including top distributed systems conferences according to some rankings, like ICDCS) received more than 3000 citations in the last 5 years in engineering (cluster, grid, Cloud and distributed systems) and its application to biomedical research (pharmacology and cardiac electrophysiology) and Computer Supported Collaborative Systems (CSCL).

Some arguably useful bibliometrics can be found via Google Scholar: H-index is 24.