I'm a PhD Student in Probabilistic Machine Learning at the Universidad Carlos III de Madrid. My supervisor is Prof. Antonio Artés from the Signal Processing Group and I am also in collaboration with the Gregorio Marañon Health Research Institute and eB2.

Research Interests

My work is mainly focused in probabilistic models for personalized medicine. I am very interested in finding such models that are able to capture human behavioral patterns as well as detect abrupt changes.

Together with my supervisors, we have recently develop a novel extension of multi-output Gaussian processes for handling heterogeneous outputs. In addition, I also study different ways for adaptative change-point detection in high dimensional data.


  • From February to June 2019, I've been working with Isabel Valera as Research Intern at the Max Planck Institute for Intelligent Systems in Tübingen, Germany
  • New paper accepted at NeurIPS! (spotlight)   [preprint] [code]
    "Heterogeneous Multi-output Gaussian Process Prediction"
  • New preprint in arXiv!   [preprint] [code]
    "Change-Point Detection on Hierarchical Circadian Models"


Short Bio

More information about me in my resume/CV: [pdf]

Email:   pmoreno [at] tsc.uc3m.es

Phone:   (+34) 91 624 88 39

Universidad Carlos III de Madrid

Dpt. of Signal Theory and Communications

Room 4.3.A03

Av. de la Universidad 30

28911 Leganes, Spain

▹   Publications

▹   Software

▹   Talks

▹   Other Interests

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