Cookie Settings

We use cookies to optimize our website. These include cookies that are necessary for the operation of the site, as well as those that are only used for anonymous statistic. You can decide for yourself which categories you want to allow. Further information can be found in our data privacy protection .


These cookies are necessary to run the core functionalities of this website and cannot be disabled.

Name Webedition CMS
Purpose This cookie is required by the CMS (Content Management System) Webedition for the system to function correctly. Typically, this cookie is deleted when the browser is closed.
Name econda
Purpose Session cookie emos_jcsid for the web analysis software econda. This runs in the “anonymized measurement” mode. There is no personal reference. As soon as the user leaves the site, tracking is ended and all data in the browser are automatically deleted.

These cookies help us understand how visitors interact with our website by collecting and analyzing information anonymously. Depending on the tool, one or more cookies are set by the provider.

Name econda
Purpose Statistics
External media

Content from external media platforms is blocked by default. If cookies from external media are accepted, access to this content no longer requires manual consent.

Name YouTube
Purpose Show YouTube content
Name Twitter
Purpose activate Twitter Feeds

Leonardo Antonio Ayala Menjivar

Leonardo Antonio Ayala Menjivar

Leonardo Antonio Ayala Menjivar




+49 (0) 6221 42 5492


+49 (0) 6221 42 2345





Leonardo Ayala leads the team on Intelligent Systems of Spectral Imaging (ISSI) since 2020. His studies in Physics in El Salvador and Argentina led him to a Master's degree at the intersection between Physics and Material Science at Instituto Balseiro (Argentina). Following his passion on applied sciences, he worked in an optics laboratory in El Salvador where he studied biological tissues with optical imaging methods. This encouraged him to pursue a PhD at the German Cancer Research Center on applied biophotonics for cancer research enabled by computer science. In particular, he develops optical imaging applications powered by machine learning with the aim of translating spectral imaging to clinical practice. Besides his academic and industrial interests, he is a big fan of alpacas, movies, and sports like soccer and gravel bike riding.


  • Emerging imaging modalities
  • Optics
  • Machine and Deep Learning
  • Physics
  • Data Synthesis


to top
powered by webEdition CMS