I am finalizing my Master's Thesis at Clinical Data Science, focusing on improving diagnostics for certain complex diseases. My research employs advanced data analytics, including Bayesian Networks and Support Vector Machines, to determine patterns that enhance diagnosis accuracy and efficiency.

My Bachelor thesis, completed at BiGCaT, focused on the analysis of gene expression data from public datasets related to Multiple Sclerosis using the R programming language. This project involved identifying deregulated genes of possible interest.

Validating the cryopreservation and thawing procedures of hematopoietic stem cells with flow cytometry.