Since 2019, Rafael Ballester-Ripoll is an Assistant Professor at the IE University in the area of data science and machine learning. Prior to that, he was a Postdoctoral Associate at the Swiss Federal Institute of Technology in Zurich (ETH) and at the University of Zurich (UZH). He holds a PhD in Computer Science from UZH (2017) as well as BSc and MSc degrees in Mathematics and Computer Science from the Technical University of Catalonia-UPC (2012).

His research interests lie in data analysis, explainable artificial intelligence, and sensitivity analysis using modeling tools such as low-rank decompositions, tensor networks, and neural networks. His contributions in large-scale scientific visualization, data compression, and uncertainty quantification using these tools have been published in the Journal of Machine Learning Research, Journal of Reliability Engineering and System Safety, IEEE Transactions in Visualization and Computer Graphics, and the SIAM/ASA Journal on Uncertainty Quantification, among other journals. He also partakes regularly in academic conferences including IEEE VIS, EuroVis, meetings of the Society for Industrial and Applied Mathematics, and various symposia on tensor methods.