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  • University of Cambridge
  • Cambridge, United Kingdom
  • X @sionakidis

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sionaris/README.md

Hi there!

  • ๐Ÿ‘‹ Iโ€™m Aris, a postdoctoral Research Associate in Machine Learning at the University of Cambridge.

  • ๐Ÿ‘€ Iโ€™m using statistical and machine learning methodologies in an effort to analyse multimodal cancer data integratively.

  • ๐Ÿ“ Here is my CV

  • ๐ŸŒ Here is my profile in other media:

  • Breast cancer:

  • Pancreatic ductal adenocarcinoma:

  • If you came here by mistake, here is something that will make it worth your time: Surprise

Popular repositories

  1. bc_ml_pub bc_ml_pub Public

    Machine learning in breast cancer neoadjuvant treatment response prediction.

    HTML 1

  2. sionaris sionaris Public

    Config files for my GitHub profile.

  3. Shiny_bc_paper Shiny_bc_paper Public

    A repository that contains all the code for the interactive Shiny app of the models developed in our work on predicting response to neoadjuvant treatment.

    R

  4. deploying-a-static-site-with-netlify-sample deploying-a-static-site-with-netlify-sample Public

    Forked from Codecademy/deploying-a-static-site-with-netlify-sample

    CSS