SCIoI Alumni

Luis Gómez Nava

Postdoctoral Researcher

HU Berlin

   

Photo: SCIoI

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Luis Gómez Nava

Luis Gómez Nava

Photo: SCIoI

Luis Alberto Gómez Nava graduated from the Universidad Nacional Autónoma de México (UNAM) in 2012, focusing on quantum dynamical systems of bosons trapped in harmonic potentials. Later, he finished a master thesis in the Physics Institute of the same university (UNAM), where he studied the dynamics of self-propelled particles in a 2D stochastic system. He then moved to Nice, in the south of France, where he worked on his PhD in collective phenomena in biological and artificial systems. His research area is theoretical physics. At SCIoI, he worked as a postdoctoral researcher focusing on quantifying and modelling collective behavior of fish across ecological contexts. This study involved analysing a natural system located in Tabasco, Mexico, consisting of groups of fish, called Poecilia sulphuraria, that are subject to attacks of natural predators such as birds. The individuals show a synchronized collective diving response to the attacks, which is quantified by the surface waves that can propagate along the whole system. The aim of the project was to investigate the mechanisms at the individual level that might be responsible for such a collective behavior, and to study the role of the system’s degree of excitability in an ecological context.


Projects

Luis Gómez Nava is member of Project 12.


2023

Gómez-Nava, L., Lange, R. T., Klamser, P. P., Lukas, J., Arias-Rodriguez, L., Bierbach, D., Krause, J., Sprekeler, H., & Romanczuk, P. (2023). Fish shoals resemble a stochastic excitable system driven by environmental perturbations. Nature Physics. https://doi.org/10.1038/s41567-022-01916-1

Sevinchan, Y., Bierbach, D., Gómez-Nava, L., Krause, J., & Romanczuk, P. (2023). Self-organized Criticality in Animal Collectives. DPG Spring Meeting 2023, SKM (poster).Sarkanych, P., Krasnytska, M., Gomez-Nava, L., Romanczuk, P., & Holovatch, Y. (2023). Individual bias and fluctuations in collective decision making: from algorithms to Hamiltonians. Physical Biology. https://doi.org/10.1088/1478-3975/acd6ce

Sarkanych, P., Krasnytska, M., Gomez-Nava, L., Romanczuk, P., & Holovatch, Y. (2023). Individual bias and fluctuations in collective decision making: from algorithms to Hamiltonians. Physical Biology. https://doi.org/10.1088/1478-3975/acd6ce

2022

Bierbach, D., Gómez-Nava, L., Francisco, F. A., Lukas, J., Musiolek, L., Hafner, V. V., Landgraf, T., Romanczuk, P., & Krause, J. (2022). Live fish learn to anticipate the movement of a fish-like robot. Bioinspiration & Biomimetics. https://doi.org/10.1088/1748-3190/ac8e3e

Gómez-Nava, L., Bon, R., & Peruani, F. (2022). Intermittent collective motion in sheep results from alternating the role of leader and follower. Nature Physics, 8. https://doi.org/10.1038/s41567-022-01769-8

 

2021

Klamser, P. P., Gómez-Nava, L., Landgraf, T., Jolles, J. W., Bierbach, D., & Romanczuk, P. (2021). Impact of Variable Speed on Collective Movement of Animal Groups. Frontiers in Physics, 9. https://doi.org/10.3389/fphy.2021.715996

Research

An overview of our scientific work

See our Research Projects