Jessica Dafflon, PhD

Jessica Dafflon, PhD

Research Scientist

NIMH, NIH

Biography

I am a Research Scientist working at the intersection between Machine Learning and Neuroscience. My research focuses on using machine learning tools to find patterns in brain images and building computational models to simulate brain processes. Currently, I am a member of the Data Science and Sharing Team at the National Institute of Mental Health, NIH. I love learning new tools and methods and applying them to real datasets.

Interests
  • Artificial Intelligence
  • Neuroimaging
  • Machine Learning
  • Medical Imaging
  • Brain Computer Interfaces
Education
  • PhD in Neuroimaging, 2020

    King's College London

  • MRes in Medical Imaging, 2016

    King's College London

  • MSc in Neuroscience, 2015

    ETH Zürich

  • BSc in Biology, 2013

    ETH Zürich

News

  • July, 2022: I was invited to give a talk at SIPS 22 at the multiverse analysis session
  • June, 2022: The “into the multiverse of neuroimaging” was finally published on Nature Communications.
  • April, 2021: My PhD thesis was selected for the 2021 King’s Outstanding Thesis Prize.

Projects

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Selected Publications

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(2022). A guided multiverse study of neuroimaging analyses. Nature Communications.

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(2021). Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data. Human Brain Mapping.

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(2020). Neuroimaging: into the Multiverse. bioRxiv.

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(2019). Conflicting emergences. Weak vs. strong emergence for the modelling of brain function. Neurosci Biobehav Rev.

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