Hello! I'm Sebastian Otálora, a machine learning engineer specialised in biomedical image analysis and healthcare data. Previously I was working with a team of brilliant engineers and scientists at Kaiko.ai, where we are developed a foundation model for pathology and an evaluation framework.
Previously, I worked as a postdoc at the Support Center for Advanced Neuroimaging (SCAN) at the Inselspital in Bern, Switzerland, where I developed predictive algorithms for stroke imaging (perfusion CT and MRI). I earned my PhD in the MedGIFT research group, following a Master’s degree from Universidad Nacional de Colombia, Bogotá, in the MindLab research group led by Fabio González.
My primary research interests include:
Developing machine learning applications to support physicians in medical imaging tasks.
Exploring the foundations of machine learning and information retrieval.
Studying algorithms and discrete structures.
Currently, I am focused on:
Crafting deep learning models that utilize semi-supervised, weakly supervised, and self-supervised learning for computational pathology.
Advancing multimodal learning techniques to interpret extensive medical datasets.
For more information about my projects or to get in touch, please click on the relevant headers above.