PhD in Computer Science, Universidad Politécnica de Valencia (2021)

MsC in Computer Science, Universidad Politécnica de Valencia (2016)

BsC in Electrical Engineer, AUniversidad Autónoma de Madrid (2015)

Senior Machine Learning Scientist, Cognizant, March 2023 -present

Machine Learning Lecturer, Universidad Pontificia de Comillas, September 2022 - September 2024

Post doctoral Researcher, Universidad Autónoma de Madrid, February 2022 - March 2023

PhD Researcher - September 2017, Universidad Politécnica de Valencia, January 2022

Lin, Zhidi; Maroñas, Juan; Li, Ying; Yin, Feng; Theodoridis, Sergios: "Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models", International Conference on Acoustics, Speech and Signal Processing, 2024.

Maroñas, Juan; Hernández-Lobato, Daniel: "Efficient Transformed Gaussian Process for non stationary dependent multi-class classification", International Conference on Machine Learning, 24045-24081, 2023.

Maroñas, Juan; Hamelijnck, Oliver; Knoblauch, Jeremias; Damoulas, Theodoros: "Transforming Gaussian Processes with Normalizing Flows", International conference on Artificial Intelligence and Statistics, 2021.

Maroñas, Juan; Paredes, Roberto; Ramos, Daniel: "Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks", Neurocomputing, 407, 194-205, 2020.