Currently working as a Postdoctoral researcher at the University of Zurich with Professor Nicolas Langer. Born in Brazil, in the city of Araraquara, I obtained my higher education in Ribeirão Preto, both in the state of São Paulo. My personal interests include history, fantasy (in gaming, literature and worldbuilding), music theory, machine learning and neuroscience. When not working, I spend quite some time browsing & answering questions in Cross-Validated, occasionally in Wikipedia, but not so much these days. Amateur mandolinist in the spare time.

Research interests

I have a deep interest in describing, understanding and predicting brain dynamics in vivo through neuroimaging and statistical analyses.

I also have a particular interest in fusing modern machine learning with brain imaging. Machine learning has made many in-roads into neuroscience, and probably will continue to do so in the following years. On the other hand of the spectrum, in neuroradiology the first machine learning-based solutions are starting to be approved for clinical uses.

Particularly, I believe there are promising results in a few areas of research that warrant more attention:

  1. Physics-informed model-based inversion (to accelerate acquisition and processing)

  2. Deeper models in the study of individual differences in behavior & cognition

  3. Architectures tailored to neuroimaging data

  4. Optimal control and neuroimaging fusion in autonomous diagnostic/theranostic systems


  • Bachelor's in Medical Physics (2012-2015) – University of São Paulo (USP), Ribeirão Preto, Brazil.

  • Master's in Physics Applied to Medicine and Biology (2016-2017) – University of São Paulo (USP), Ribeirão Preto, Brazil.

  • Doctorate in Physics Applied to Medicine and Biology (2018-2021) – University of São Paulo (USP), Ribeirão Preto, Brazil.


  • 2018: Travel Stipend Award for the 2018 OHBM Annual Meeting in Singapore, Organization for Human Brain Mapping.

  • 2017: ISMRM Abstract Merit Award - Summa Cum Laude, International Society for Magnetic Resonance in Medicine.


  • Neuroimaging, specially functional and anatomical magnetic resonance imaging

    • Acquisition

    • Pre-processing

    • Analysis

  • Data science

    • Statistical modelling

    • Hypothesis testing

    • Data visualization

    • Machine learning

  • Programming

    • Fluent in Julia, R, Matlab, Python