Max Planck Gesellschaft
Lazaro Alonso Silva

Model-Data Integration group

room: B3 3.28 (Mälzerstraße 5, 07745 Jena)
phone: +49 3641 578915
email: lalonso(at)

Research interests | Current Research | Academic background | Publications

Research Interest:

  • Machine learning
  • Time series analysis
  • Climate forecasting
  • Complex Systems
  • Random Matrix Theory
  • Code - Julia- Python - R - Visualization

Current Research:


Academic background:

Max Planck Insitute for the Physics of Complex Systems (2019-2020)
Guest scientist: Finite systems group. Application of neural networks to AMO physics.

Benemérita Universidad Autónoma de Puebla (2016-2018)
Postdoc: Instituto de Física "Ing. Luis Rivera Terrazas". Application of random matrix theory to complex networks.

Universidad de Guadalajara (2012-2016)
PhD. Departamento de Física. Integration over classical groups elements of U(N) and O(N), random matrix theory.



Giri, S., Alonso, L., Saalmann, U., Rost, Jan M. (2020). Perspectives for analyzing non-linear photo ionization spectra with deep neural networks trained with synthetic Hamilton matrices. Faraday Discussions,
Alonso, L., Méndez-Bermúdez, J. A., Estrada, E. (2019) Geometrical and spectral study of -skeleton graphs. Phys. Rev. E 100, 062309.
Gera, R., Alonso, L., Crawford, B. et al. (2018) Identifying network structure similarity using spectral graph theory. Appl Netw Sci 3, 2.
Alonso, L., Méndez-Bermúdez, J. A., González-Meléndrez, A., Moreno, Y. Weighted random-geometric and random-rectangular graphs: spectral and eigenfunction properties of the adjacency matrix, Journal of Complex Networks, Volume 6, Issue 5, October 2018, Pages 753–766,
Alonso, L., Gorin, T., (2016) J. Phys. A: Math. Theor. 49 145004

Conference Contribution

Gorin, T. Alonso, L., López Vázquez, P. C., (2014) AIP Conference Proceedings 1579, 11;
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