Pablo Huijse Heise

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Hello, this is my website, I am a Post Doctorate in electrical engineering, I have been actively developing research from 2014 to date and it is focused on computational methods to analyze astronomical data. I invite you to visit my website.

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Research Statement

I’m interested in the fundamental, methodological and practical aspects of learning statistical models from data. Most of my personal research falls under the relatively new field of Astroinformatics. In particular I’m focused on the development of new methods to automatically analyze astronomical data from massive synoptic surveys.

Interests

  • Machine Learning
  • Artificial Neural Networks
  • Information Theory
  • Bayesian Inference
  • Statistical Signal Processing
  • Astroinformatics

Selected Papers

  • 1

    Robust period estimation using mutual information for multiband light curves in the synoptic survey era

    The Astrophysical Journal Supplement Series, 2018, 10.3847/1538-4365/aab77c
  • 2

    MPCC: Matching Priors and Conditionals for Clustering

    Computer Vision – ECCV 2020, 2020, 10.1007/978-3-030-58592-1_39
  • 3

    ATAT: Astronomical Transformer for time series And Tabular data

    preprint, 2023, 10.21203/rs.3.rs-2395110/v1

    • Selected Courses

  • 1

    Supervised Machine Learning

    Informatics Engineering, Universidad Austral de Chile, 2018 to 2022, Repository
  • 2

    Scientific Computing with Python

    Informatics Engineering, Universidad Austral de Chile, 2018 to 2022, Repository
  • 3

    name "Bayesian Learning and Neural Networks"

    Master in Informatics, Universidad Austral de Chile, 2018 to 2022, Repository

    • Selected presentations

  • 1

    Example 1

    2023, Repository

    • Contact

    If you have questions or you want to colaborate: