Since 2022, I have taught at Iscte-Sintra — Iscte, University Institute of Lisbon, delivering the modules Graphs and Complex Networks, Mathematical Modelling, Introduction to Neural Networks, Calculus, and Mechanics and Electricity. In parallel, I serve as Coordinator of Projects in Applied Mathematics II and as Year Coordinator for the first year of the Digital Technologies and Management degree programme. Between 2021 and 2023, I also taught the modules Mathematics I and II, Physics I and II, Probability and Statistics, and Computer Science at the Instituto Superior de Educação e Ciências de Lisboa.

I am passionate about science and the advancement of knowledge, with research interests in mathematical modelling applied to Physics, Biology, Sociology, and, more broadly, to scientific and societal challenges. I am equally committed to education, striving to enable students to master any skill with the right guidance and effort. In this spirit, I have volunteered as a teacher of Portuguese and Mathematics for illiterate adults at a social institution, and I currently teach Mathematics at a Senior University.

Beyond academia, I have experience in Data Analysis (back end and front end), Data Visualisation and dashboarding, Data Science, and Predictive Analytics. I excel at problem-solving, research, and data interpretation, applying analytical skills to develop solutions rapidly, whether through organisation, teamwork, planning, management, programming, or innovation.

As a researcher, I have worked on projects that apply mathematical and computational techniques to biological, operational, social, and other data sources. In biological applications, I specifically studied the evolution of viruses in terms of mutations and virulence. Although this research did not prevent the COVID-19 pandemic, projects of this kind contribute to the scientific foundation that enabled the rapid development of vaccines.

I hold a PhD from Cranfield University (UK), following an MSc in Physics from the University of Lisbon (Portugal). My doctoral thesis focused on analysing automotive supply chains and developing a synthetic network model capable of reproducing real-world supply chain structures. The model demonstrated high accuracy, enabling managers to predict supply chain structures with minimal data.

In terms of soft skills, determination and hard work have been fundamental in my career. I firmly believe that success is not reserved for geniuses — anyone can achieve their goals with dedication and perseverance.