HIGHLIGHTS

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Scaling and optimal synergy: Two principles determining microbial growth in complex media

Phys. Rev. E - June 8, 2015



High-throughput experimental techniques and bioinformatics tools make it possible to obtain reconstructions of the metabolism of microbial species. Combined with mathematical frameworks such as flux balance analysis, which assumes that nutrients are used so as to maximize growth, these reconstructions enable us to predict microbial growth. Although such predictions are...

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Toni Vallès, finalist in Famelab Spain 2015

by Seeslab, May 29, 2015



Toni Vallès was one of eight scientists who qualified for the Spanish final of FameLab 2015, a communications competition designed to engage and entertain by breaking down science, technology and engineering concepts into three minute presentations. Contestants from around the world take part armed only with their wits and a......

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The currents beneath the “rising tide” of school choice: An analysis of student enrollment flows in the Chicago public schools

J. Policy Anal. Manag - Feb. 12, 2015



Existing research highlights that families face geographic, social, and psychological constraints that may limit the extent to which competition can take hold in school choice programs. In this paper, we address the implications of such findings by creating a network of student flows from 11 cohorts of eighth-grade students in...

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OUR RESEARCH

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Complex Systems

Cells, ecosystems and economies are examples of complex systems. In complex systems, individual components interact with each other, usually in nonlinear ways, giving rise to complex networks of interactions that are neither totally regular nor totally random. Partly because of the interactions themselves and partly because of the interaction's topology, complex systems cannot be properly understood by just analyzing their constituent parts.

research

Data Science

Humans generate information at an unprecedented pace, with some estimates suggesting that, in a year, we now produce on the order of 10^21 bytes of data, millions of times the amount of information in all the books ever written. Processing this "data deluge", as some have called it, requires new tools and new approaches at the interface of statistics, statistical and machine learning, network theory and statistical physics.

research

Multidisciplinarity

Our goal is to push forward the boundaries of science. We are interested in addressing fundamental questions in all areas of science including natural, social and economic sciences. We put a special emphasis in the development of tools that aid scientific discovery through understanding and quantification of a specific phenomenon. To this end we have assembled a multidisciplinary team and have established solid collaborations with experts in biology, social sciences, ecology and economics.