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Muriel Rovira-Esteva, PhD

Data
Dr. in Computational and Applied Physics by UPC, I did research during more than 10 years at the intersection between physics, chemistry and biology using a great number of data analysis and visualization techniques and developing scientific software, but also teaching and doing science outreach. Master in Data Science at the UB. I have collaborated with Mozilla in software for the evaluation of classifier models and to build copies of black box machine learning models, as well as with their white paper "Creating Trustworthy AI". I am also an activist advocating for free software, privacy, technological sovereignty and ethical AI.