My professional career

My professional mission has stayed the same throughout: to be an example of a person through enthusiastic behaviour, empathy, focus and passion for my research. Many supervisors and collaborators have helped me pursue it, and what follows is the result of that journey — and my gratitude to all of them.

I began my undergraduate degree in February 2017 and worked with Prof. Silvio Zocchi at the University of São Paulo from my very first week of college. He developed my R programming and statistics skills and opened a world I came to love more than biology alone: the interface between biology, mathematics and statistics. That work produced research on entropy indices for biodiversity, bootstrap confidence intervals and kernel density estimation, published across six international symposia — four of them with Honourable Mention Awards.

In July 2017 I started working with Prof. Wesley Godoy in applied mathematics, studying advanced calculus, linear algebra, nonlinear dynamics and spatial modelling alongside Dr Lucas Dias Fernandes, and learning Python. Three FAPESP scientific initiation fellowships followed, including collaborative work with Dr Rafael Moral on the spatial dynamics of symbiont–host–parasitoid systems in agricultural landscapes.

In 2019 the University of São Paulo's Innovation Agency funded me to develop a research project at Maynooth University with Dr Moral. While working on Detecting pest outbreaks based on time-series data I met Prof. Charles Markham in the Department of Computer Science, and our machine vision collaboration produced a paper at the Irish Machine Vision and Image Processing Conference. That visit led directly to my PhD at the SFI Centre for Research Training in Foundations of Data Science, where I developed pattern-based prediction and time series embedding — methods now published in Ecological Informatics and released as open-source Python packages.

Since July 2025 I have been a Research Fellow at Trinity College Dublin, where my work has moved from animal monitoring to the human nervous system. I now apply statistical machine learning to electrophysiology — building models over EEG, event-related potentials and motor-evoked potentials to identify network-based subtypes of amyotrophic lateral sclerosis, to test whether neural markers replicate across independent Irish and Dutch cohorts, and to understand how very low amplitude muscle activity shapes corticospinal excitability. The statistical toolkit is the one I have been building for a decade; the signals, the clinical stakes and the collaborators are new.

Alongside research I coordinate modules at Trinity, chair the Young Statisticians' Section of the Irish Statistical Association, and sit on the executive committee of the British & Irish Region of the International Biometric Society.

See my publications