Biography

I am a neuroimaging researcher with a strong foundation in data-driven healthcare and extensive experience bridging academic insight with practical applications. Most recently, as principal investigator in the ZIKV group at Hospital Israelita Albert Einstein, I led data and algorithm development within the PROADI-MARIA project to advance diagnostics for Congenital Zika Syndrome (CZS). In this role, I collaborated with a cross-functional team of data scientists, engineers, and healthcare professionals to design radiological tools and machine learning algorithms, balancing scientific rigor with agile, project-based goals.
Previously, my postdoctoral research roles at the Federal University of ABC’s Center for Mathematics, Computation, and Cognition and USP’s Neurostimulation Laboratory exposed me to various neuroimaging techniques and clinical applications. I also served as a collaborating professor with UNIFESP’s Clinical Radiology program, supporting postgraduate students and expanding my expertise in managing and analyzing clinical data.
My academic background includes a PhD in Sciences from the Department of Psychiatry at UNIFESP, focusing on neurodevelopment through diffusion imaging techniques. I also completed a research exchange at King’s College London, refining my technical skills in neuroimaging analysis and gaining international experience. I hold a Master’s in Neuroscience and Behavior and a Bachelor’s in Biology from the University of São Paulo.
Now based in France, I work as a freelance researcher, partnering on projects that leverage AI-driven diagnostics and real-world healthcare data. My blend of technical skills in neuroimaging, statistical analysis, and collaborative project management uniquely positions me to contribute to innovation in healthcare technology.