The words previously presented showed the perspective of collaborators and supervisors about me. It agreed with my professional mission: "Be an example of a person through enthusiastic behaviour, empathy, focus and passion for my research ". So, to thrive in my professional journey toward my mission, many supervisors and collaborators have helped. Here I will present the results of such a journey as my research brand, demonstrating my gratitude to all of them.

I started my undergraduate course in February/2017, and I had the opportunity to work with Prof. Silvio Zocchi, at the University of São Paulo, Brazil, in the field of Statistics from my first week of college until today. Thanks to him, I developed my R programming and Statistics skills, applying them to solving biological problems. This opportunity opened a new world that I loved more than biology: the interface between Biology, Mathematics, and Statistics. Since then, I have collaborated with many research groups and have developed my research area, involving entropy indexes for biodiversity, bootstrap confidence intervals, and kernel density estimation. These studies allowed me to publish abstracts in six international symposia (having received Honourable Mention Awards in four of them).

In July/2017, I started working with Prof. Wesley Godoy, at the University of São Paulo, in Applied Mathematics. Alongside Prof. Godoy and Dr Lucas Dias Fernandes, I studied advanced calculus, linear algebra, nonlinear dynamics, mathematical modelling applied to biological systems, and spatial modelling. I also learned to write programs in Python. In 2017, I was awarded three Scientific initiation fellowships by the São Paulo Research Foundation (FAPESP), Brazil' s most prestigious scientific funding agency. My first project allowed me to deepen my knowledge of Applied Mathematics and the Python programming language.

This first scientific initiation fellowship allowed me to work with Dr Rafael Moral on " Spatial dynamics of symbiont-host-parasitoid in agricultural landscapes. " It was a fantastic opportunity, and thanks to him and Prof. Godoy, I started a second project, where I worked with nonlinear models and discrete-time population models and studied Python and R.

In 2019, I submitted a project to the University of São Paulo' s Innovation Agency and was granted funding to develop a research project at Maynooth University in collaboration with Dr Moral. While developing this project, entitled " Detecting pest outbreaks based on time-series data," I had the opportunity to enhance my skills in Python, HTML, JavaScript, SQL, PHP, the Django Framework, Machine Learning, Statistics, and Deep Learning. During the internship, I also had the opportunity to meet Prof. Charles Markham from the Department of Computer Science and worked with him on a Machine Vision project. Before I returned to Brazil, we had submitted a paper to the Irish Machine Vision and Image Processing Conference (IMVIP) 2020 was later accepted and published.

Finally, the third project developed with FAPESP funding is based on extending the methods developed with Dr Moral to detect pest outbreaks. We also use other machine learning techniques like support vector machines, deep neural networks, and distance-weighted nearest neighbours. I have studied Fortran and C++ by creating algorithms using the Python package Cython, which utilizes C++ compiled code to optimize computation speed. In addition, I was able to study mathematical, statistical, and machine learning methods.

I have also been working with Prof. Rodrigo Mello' s research group on Machine learning at the University of São Paulo since July/2018. This interaction resulted in an abstract at the XII Symposium of Graduate Students at CENA/USP and a co-authored manuscript recently published by the Journal of Experimental & Theoretical Artificial Intelligence. Thanks to these opportunities to work with Applied Mathematics, Statistics, and Machine Learning, coupled with my background in Biology, my research interests involve the integration of these areas combined with a research question based on real-world problems.

Currently, I am a PhD at the SFI Centre for Research Training in Foundations of Data Science. Thanks to the program, I am evolving my skills in data science, mainly with Deep learning, machine vision, and statistical modelling. So, I can apply the skill and techniques I learned through my journey, especially my management skills, to create research projects and solve a diverse lack of problems related to academia and industry.