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In the chamber of understanding
🎯
In the chamber of understanding
  • Biostatistics and Biomedical Data Science Research Group (USC)
  • Abel Salazar Biomedical Sciences Institute (U.Porto)
  • 09:05 (UTC +01:00)
  • X @DatasetMessy

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iguanamarina/README.md

Hi, I'm Juan Arias

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I am a Research Intern at Porto University ICBAS and a researcher in Computational Neuroscience working at GRID-BDS while developing my doctoral thesis in biostatistics applied to the diagnosis of neurodegenerative diseases. Previously, I worked as research assistant to Prof. Andrew Kemp at Swansea University.

  • 📊 Former Biostatistician at Biostatech S.L., a scientific company specialized in data analysis and applied statistics.
  • 📝 Academic background: Biology B.Sc. 🍀, Clinical Neurosciences M.Sc. 🧠 & Statistical Techniques M.Sc. 📊
  • 💻 My coding interests include R, Phyton, and LaTeX.
  • 📓 I am currently writing an article on Functional Data Analysis for Neuroimaging.
  • 📓 I am also working on a research project on the influence of environmental variables on health outcomes for UCI patients.
  • 📻 I am co-host of a science & comedy podcast.
  • 📧 You can reach me at: [email protected]
  • 👁️ Further info and full CV at my personal webpage and portfolio.

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  1. PhD-2021-Computational-Issues-in-the-Application-of-Functional-Data-Analysis-to-Imaging-Data PhD-2021-Computational-Issues-in-the-Application-of-Functional-Data-Analysis-to-Imaging-Data Public

    Arias-López, J. A., Cadarso-Suárez, C., & Aguiar-Fernández, P. (2021). Computational Issues in the Application of Functional Data Analysis to Imaging Data (pp. 630–638).

    R 1

  2. PhD-2022-Functional-Data-Analysis-for-Imaging-Mean-Function-Estimation-Computing-Times-and-Paramete PhD-2022-Functional-Data-Analysis-for-Imaging-Mean-Function-Estimation-Computing-Times-and-Paramete Public

    Arias-López JA, Cadarso-Suárez C, Aguiar-Fernández P. Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Computers. 2022; 11(6):91.

    R 2

  3. TFM-Statistical-Learning TFM-Statistical-Learning Public

    El código de R (y Python) para el TFM de Statistical Leraning for Neuroimage

    R 3 1

  4. neuroSCC neuroSCC Public

    This package provides auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data. This package is developed as an auxiliary package to the project:

    R 2

  5. PhD-2023-Neuroimage-article-SCC-vs-SPM PhD-2023-Neuroimage-article-SCC-vs-SPM Public

    Repository for SCC vs SPM comparison.

    R 1

  6. Snippet-Cheatsheet Snippet-Cheatsheet Public

    Lista de snippets para RStudio

    R