About me

Disorder, randomness and broken symmetries are ubiquitous in nature and appear at very different lengths scales from atomic lattices to intergalactic dust. Entropy induces imperfection and disorder in different materials at scales commensurable to the wavelength of different (light, mechanical or electronic) waves. This ultimately leads to multiple scattering and complexity phenomena giving rise to thermal heat or electrical resistance, light diffusion or light localization. In photonics, interesting phenomena occur when disorder and imperfection appear at length scales similar to visible and near infrared electromagnetic wavelengths. At first sight, this may be seen as a problem but it can also be used to our advantage in technologies involving the emission or propagation of light for, e.g., energy harvesting, imaging, lasing, quantum optics or information generation and processing. My primary scientific goal is to explore these functionalities induced by disorder.

In December 2021, I was apointed tenured researcher (Científico Titular) at the Spanish National Research Council (CSIC). I am setting up a research line on complex optomechanics at the Material Science Institute in Madrid. If you are interested, just contact me here.


drawing

New project

In March 2023 we will start a 4-year EU Pathfinder project on integrated and programmable photonic circuits (Neuropic - Nano electro-optomechanical programmable integrated circuits for neuromorphic computing) coordinated by the Material Science Institute in Madrid in collaboration with the Department of Electrical and Photonics Engineering at the DTU (Copenhagen) and the Catalan Institute for Nanoscience and Nanotechnology (Barcelona) and other research institutes and small companies located in Ireland and Germany.

For more info, listen here (interview on Spanish National Radio)

Interests

  • Mesoscopic photonics, complexity and localization phenomena
  • Quantum photonics
  • Optomechanics
  • Radiative cooling
  • Artifitial intelligence and complex neural networks