Juan C. Caicedo

Juan C. Caicedo

Investigator, Biomedical Imaging



(608) 316-3990


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Our work is focused on creating computational models of phenotypic variation using microscopy imaging and machine learning. Microscopy imaging is the best strategy to observe the complexity of cellular structures and tissue organization, and to capture complex phenotypes in space and time. We use machine learning to model the biological information captured in microscopy images and to enable quantitative inference with complex phenotypes. These computational models enable us to study the impact of diseases and the effects of treatments at the cellular level, bringing precision and sensitivity to biological research.


Ph.D in Computer Sciences. 2013. National University of Colombia