Preference and ranking models

Current work on two-level Plackett-Luce models for route choice and smart mobility platforms, with an emphasis on interpretable Bayesian inference.

Robust sequential decision-making

Ongoing work on adversarial observations in probabilistic state-space models for robust reinforcement learning.

Predictive control for social robotics

Collaborative work on Bayesian predictive control models for social robots in ASD therapy settings.

Under revision, with a preprint available on arXiv. The paper studies preference modelling for route choice through a two-level Plackett-Luce formulation.

Adversarial Observations in Probabilistic State-Space Models for Robust Reinforcement Learning

Work in progress on robustness in sequential probabilistic models for reinforcement learning.

Final thesis at the University of Valladolid, graded 9.8/10 with Honors, exploring how information-theoretic ideas can inform supervised learning.

Final thesis at the University of Valladolid, graded 9.4/10, on variational quantum algorithms and their relationship with adiabatic quantum computing.

SEIO Lleida 2025 Congress

Presentation and attendance in Lleida, Spain.

II International Workshop on Bayesian Statistics

Session presentation at CUNEF Universidad, Madrid, Spain.

ICRA 2026

Accepted poster: "A Bayesian predictive control model for a social robot for ASD Therapy", Vienna, Austria.

ISBA 2026

Attendance and poster presentation: "A Bayesian predictive control model for a social robot for ASD Therapy", Nagoya, Japan.