Agustín Corbat

Agustín A. Corbat is a physicist and bioimage analyst with a core background in medicine, currently working at the interface of microscopy, computation, and quantitative biology. His path into image analysis started from a strong interest in how biological systems process information, and evolved into building practical, reproducible workflows that help researchers move from pixels to biological insight.

During his PhD in Physics at the Universidad de Buenos Aires, he developed mathematical models of apoptotic signaling and linked them to quantitative microscopy measurements, combining experiments, computation, and theory to understand signal propagation in biological networks. That training shaped his current approach: connect experimental questions with rigorous analysis and interpretable models.

As a microscopist and image analyst, he has hands-on experience with advanced imaging modalities including widefield and confocal fluorescence microscopy, light-sheet imaging, time-lapse and multiplex imaging, as well as whole-slide pathology contexts. He is comfortable discussing experimental design from acquisition to quantification, including controls, segmentation strategies, feature extraction, and downstream statistical interpretation.

Across roles at Universidad de Buenos Aires, SciLifeLab/NBIS, and Karolinska Institutet, he has supported multidisciplinary teams in academia and industry by designing robust analysis pipelines, integrating machine learning when useful, and helping collaborators make better decisions from complex imaging data.

You can see some of his projects here

Contact acorbat.bia@gmail.com