Sara Pérez Vieites Postdoctoral Researcher

About me

I'm a postdoctoral researcher at the School of Electrical Engineering, Aalto University (Espoo, Finland), and I am affiliated with the Finnish Center for Artificial Intelligence (FCAI). Just before starting this position, I was a postdoctoral researcher at IMT Nord Europe (Lille, France) and a visiting researcher at the University of Edinburgh, 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.

My research interests are focused on computational statistics, data assimilation, and signal processing. More specifically, I am interested in Bayesian inference in state-space models. I work on providing new techniques that run recursively (online) with reduced computational complexity (compared to the state-of-the-art methods) to obtain both parameter and state estimates. I'm also interested in the application of these probabilistic methods in different fields of science such as ecology, energy, geoscience, and climate.

Last news

  • Sep. 24 |   New arXiv preprint! Title: Recursive nested filtering for efficient amortized Bayesian experimental design. [arXiv]
  • June 24 |   Joining both the BAYSM 2024 and 2024 ISBA World meeting next week! I will be giving a talk (29th June) and presenting a poster (5th July) on parameter-space exploration in nested filtering. See you in Venice!
  • Apr. 24 |   Published paper in ICASSP 2024! Title: End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. [DOI] [pdf]
  • Jan. 24 |   Starting a new postdoctoral position in the School of Electrical Engineering, Aalto University!
  • Jan. 24 |   Glad to serve as reviewer in IEEE Transactions of Signal Processing .

All news