About me
I’m an HIIT postdoctoral fellow at the Department of Computer Science in the University of Helsinki. I am part of the Multi-source probabilistic inference research group, led by Prof. Arto Klami. Just before starting this position, I was a postdoctoral researcher at Aalto University (2024-2026), affiliated with FCAI, supervised by Prof. Dominik Baumann. Before, I was a postdoctoral researcher at IMT Nord Europe (France) and a visiting researcher at the University of Edinburgh (UK), working mainly with Prof. Víctor Elvira. I finished the Ph.D. in Multimedia and Communications (Statistical Signal Processing) from Universidad Carlos III de Madrid in 2022, under the supervision of Prof. Joaquín Míguez.
Research Interests
My research lies at the intersection of Bayesian inference, experimental design, and machine learning. I develop probabilistic methods that make data acquisition and decision-making more efficient, reliable, and adaptive. Much of my work focuses on Bayesian experimental design (BED) and its extension to continual, non-stationary, and non-ergodic environments — settings where systems evolve over time and classical assumptions break down. I also work on scalable methods for online Bayesian inference and sequential Monte Carlo, enabling learning and inference in complex dynamical systems.
This research connects fundamental statistical methodology with practical challenges in areas such as AI for science, control, and robotics, and has strong links to probabilistic machine learning, reinforcement learning, and adaptive decision-making.
If you would like to learn more about my research, I have summarised some of my key contributions and ongoing directions in this talk.
News
- February 2026: Excited to start a new position as an HIIT postdoctoral fellow at University of Helsinki! :))
- November 2025: New preprint on online Bayesian experimental design! (arXiv) This work was presented at the AI Day 2025 (Aalto Univeristy, Helsinki). (poster)
- September 2025: Presented a poster at the Workshop on Emerging Trends in Automatic Control (Aalto University, Helsinki), sharing recent work on online Bayesian experimental design for partially observable dynamical systems. (poster)
- July 2025: Excited to visit the Illinois Institute of Technology (Chicago, USA) to give a talk in the special session on Nested expectations: models and estimators at MCM 2025. (slides)
- July 2025: Happy to be back at Universidad Carlos III de Madrid, where I gave an invited talk at the GTS Seminar and served as committee member for the PhD defense of José Alberto Martínez-Ordóñez. His thesis Discrete-time nonlinear Markov switching models: stability, inference and physical applications was a pleasure to read :) <!– - June 2025: Great to return to Vigo (Spain), where I studied my bachelor’s, to attend and serve as a poster session chair at the SIC workshop 2025 (Universidade de Vigo).
- June 2025: First visit to the University of Cambridge, inspired by the workshop Accelerating statistical inference and experimental design with machine learning in the Isaac Newton Institute for Mathematical Sciences. –>