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, 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