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 .

Essential enable/disable

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.

Statistics enable/disable

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 enable/disable

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

Research

Leonardo Antonio Ayala Menjivar

Position:

Scientist

Contact:

Contact Form

Phone:

+49 (0) 6221 42 5492

Fax:

+49 (0) 6221 42 2345

Building:

REZ

Room:

F.02.022

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.

Expertise

Emerging imaging modalities
Optics
Machine and Deep Learning
Physics
Data Synthesis

Links