Rodrigo Aldecoa
- Postdoctoral Researcher at Northeastern University
- Simplifying Complex Networks
I got my degree in Computer Engineering from the Polytechnic University of Valencia , completing a Master's Degree on Artificial Intelligence, Pattern Recognition and Digital Imaging. I also hold a Diploma in Operations Research and Systems from the University of Valencia.
During 2007-2008 I was a visiting student at Holstege Lab, Utrecht (NL), under the supervision of Dr. Patrick Kemmeren. My work was focused on analyzing redundancy relationships between kinases using genetic interactions (E-MAP) data.
Back in Spain, in May 2009 I started my PhD studies in the research group of Dr. Ignacio Marín, at Instituto de Biomedicina de Valencia - CSIC (Spanish National Research Council), obtaining my PhD with the distinction Cum Laude in 2013. The aim of my thesis was to investigate how to improve the characterization of communities in networks.
Currently I am a postdoctoral researcher in the group of Dr. Dmitri Krioukov at Northeastern University. My work is focused on the geometric structure of the fruit fly brain neural network.
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Reality is composed of complex systems. The Universe, the Solar System, the Earth, our country, our city, our family, even ourselves contain, but also are part of systems. From a macroscopic to a microscopic level, from galaxies down to atoms and beyond...
So, to understand reality, we need to understand how information is coded and used to organize complex systems. Such systems are formed by different elements which also constitute other complex systems. And it is the interaction between these elements what makes the whole more than the sum of its parts.
Complex networks are an excellent way to represent interactions between the elements of a system. My current research is intended to provide a better understanding of the properties and behavior of these networks.