José R. Pareja Monturiol
I studied Mathematics (2016-2020) at Universidad Complutense de Madrid (UCM). In my last year, I specialized in Computer Science, which gave me some insight into the world of machine learning. At the same time, I had the opportunity to work at the Statistics and Operations Research Department (UCM) under the supervision of María del Mar Fenoy Muñoz, with a collaboration grant. I did research on the Fractional Brownian motion and its application in the modelling of certain cardiac diseases.
After that, I started my studies of Computational Statistics in a M.Sc. at UCM, while working as a researcher at the Mathematical Analysis and Applied Mathematics Department (UCM), supervised by David Pérez García. As a part of the Quantum Information Theory group (mathQI), I studied how tensor networks could help to develop privacy-preserving machine learning algorithms.
Currently I am a PhD student doing research on deep learning, tensor networks and privacy-preserving algorithms.
After that, I started my studies of Computational Statistics in a M.Sc. at UCM, while working as a researcher at the Mathematical Analysis and Applied Mathematics Department (UCM), supervised by David Pérez García. As a part of the Quantum Information Theory group (mathQI), I studied how tensor networks could help to develop privacy-preserving machine learning algorithms.
Currently I am a PhD student doing research on deep learning, tensor networks and privacy-preserving algorithms.