Skip to content
View iguanamarina's full-sized avatar
🎯
In the chamber of understanding
🎯
In the chamber of understanding

Block or report iguanamarina

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
iguanamarina/README.md

Hi, I'm Dr. Juan Arias

Twitter Badge LinkedIn Badge

I am a researcher in biostatistics (Ph.D.) working at GRID-BDS, focusing on the application of novel statistical techniques to the field of Neurosciences. Previously, I worked as a research assistant to Prof. Andrew Kemp at Swansea University and as a research intern at Porto University ICBAS.

  • 📊 Former Biostatistician at Biostatech S.L., a scientific company specialized in data analysis and applied statistics.
  • 📝 Academic background: Biology B.Sc. 🍀, Statistical Techniques M.Sc. 📊, Neurosciences M.Sc. & Ph.D. 🧠
  • 💻 My coding interests include R, Python, and LaTeX.
  • 📓 I am currently writing an extensive article on Functional Data Analysis for Neuroimaging focused on Alzheimer's diagnosis.
  • 📜 New article in Intensive and Critical Care Nursing! We explored how wearable sensors can help understand the impact of environmental factors on patients in the ICU.
  • 📦 Just published an R package which works as a wrapper and support for my thesis: neuroSCC. Now available on CRAN! 🎉
  • 📧 You can reach me at: juanantonio.arias.lopez@usc.es
  • 👁️ Further info and full CV at my personal webpage and portfolio.

Best viewed with Microsoft Internet Explorer

Pinned Loading

  1. neuroSCC neuroSCC Public

    Auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data.

    R 2

  2. TFM-Statistical-Learning TFM-Statistical-Learning Public

    Arias-López, J. A. (2023). Statistical Analysis and Automatic Classification of Positron Emission Tomography Data in Alzheimer's Disease [Master's thesis, University of Santiago de Compostela]. USC…

    R 3 1

  3. 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

  4. 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

  5. PhD-2023-SCC-vs-SPM-Group-vs-Group PhD-2023-SCC-vs-SPM-Group-vs-Group Public

    Arias-López, J. A., Cadarso-Suárez, C., & Aguiar-Fernández, P. (Under review). Simultaneous Confidence Corridors in neuroimage data analysis: applications for Alzheimer's Disease diagnosis.

    R 2

  6. PhD-2024-SCC-vs-SPM-SinglePatient-vs-Group PhD-2024-SCC-vs-SPM-SinglePatient-vs-Group Public

    Arias-López, J. A., Cadarso-Suárez, C., & Aguiar-Fernández, P. (Under review). Simultaneous Confidence Corridors in neuroimage data analysis: applications for Alzheimer's Disease diagnosis.

    HTML 1