Jesús A. Moreno

Jesús Arturo Moreno López

I'm a PhD student under the supervision of Dr. Jose Javier Ramasco from Motril, Granada (Spain). I obtained my undergraduate degree in (Fundamental) Physics at Universidad Complutense of Madrid before moving to Paris to obtain a master's degree in Physics of Complex Systems offered in conjunction by Université de ParisSorbonne Université and Université Paris-Saclay. My work is focused heavily on computational and data-oriented approaches to discovering and understanding complexity in social and biological systems.

My internship at Pierre Louis Institute of Epidemiology and Public Health (IPLESP) in Paris under Dr. Chiara Poletto sparked my interest in network and agent-based modelling. Here at IFISC I will continue this line of work incorporating an emphasis on human mobility and real mobility data.
In my work so far, I aim to analyse economic and demographic inequalities in cities induced by housing and transport infrastructure via adaptive agent-based models, online networks and communities via pairwise and higher-order network theory and study the phenomenology, stability and phases occuring in individual-based models of noisy chasing dynamics.
I'm interested in many applications of complex systems theory and decision-based/evolutionary approaches to social and biological systems. In my PhD I wish to expand and deepen my knowledge of self-organising systems in both social and biological settings.

Ongoing Research projects


Secure Interactive Environments for SensiTive data Analytics

P.I.: Jose Javier Ramasco
The FAIR principles provide a framework for enabling proper access and reusability of scientific data, and implementing them is a key goal of the European Open Science Cloud (EOSC). However, providing access ...


Maria de Maeztu 2023-2026

P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

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