Miguel is a bioimage specialist, focusing on the development of reproducible tools and analysis of bioimage-derived datasets. During the last three years, he has specialized in the field of image-based spatial omics. Contributing to the standardization and development of tools in the field. He has been a pioneer in the field of neighborhood analysis techniques and antibody-free image analysis.
Education & Career:
- BSc in Genomic Sciences (With a focus on systems biology)
- MSc in Life Science Informatics (Focusing on clinical imaging for the identification of rare genetic disorders and explainable AI)
- PhD candidate in Computational Biomedicine (Integrating bioimaging and spatial pattern discovery for disease microenvironment characterization).