Miguel Urbaneja Torres

Miguel Urbaneja Torres is a Senior Data Scientist at NTT DATA since January 2025, with a strong background in data science and applied physics. Previously, Miguel worked as a Data Scientist at Inverbis Analytics, where seq2seq deep-learning models for predictive process monitoring were developed and a Monte Carlo simulation tool for process mining was created. Prior to that role, Miguel's experience at Sherpa.ai included integrating machine learning algorithms into a Federated Learning framework and utilizing Bayesian Networks for synthetic data generation. As a Simulation Engineer at Termopan, Miguel analyzed heat and mass transfer during the bread baking process through finite element methods. Earlier in Miguel's career, a research assistantship at the National Institute of Research and Development for Technical Physics explored magnetostrictive vitrified ferromagnetic alloys. Miguel holds a PhD in Applied Physics from Reykjavik University and a Licenciatura in Physics from Universidad de Granada.