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When interpretability brings along new knowledge
As part of the master thesis project I completed at IBM Research Zürich, I worked on a type of weakly supervised learning problem where the data is described as bags of instances. The labels are only available at the bag level while the individual instance labels remain unknown. It is assumed though that the presence of certain instance types ... Read More
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The potential of CITE-seq data to describe single-cell
My second research project done as part of my master degree was completed within the Robinson Lab under the supervision of Anthony Sonrel and Prof. Mark D. Robinson. During this project, we gathered data from five different publications that used CITE-seq technology and tried to define the best pipeline to analyse such data. This novel technolog... Read More
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Deep Knockoffs for fMRI time courses nonparametric testing
I had the chance to do a small research project with the Medical Image Processing Lab (MIP:lab) of EPFL as part of my Master in Computational Biology and Bioinformatics. Under the supervision of Dr. Maria Giulia Preti and Prof. Dimitri van de Ville, I worked for the first time with blood-oxygen-level dependent (BOLD) contrast fMRI timecourses pr... Read More