Who I am
I am Francielle Marques do Nascimento, an AI researcher at the TIDE Research Group, Universitat Pompeu Fabra in Barcelona. I recently defended my doctoral thesis titled "Towards Responsible Higher Education Institutional Analytics: A Study of Biases and Dependencies on Student Satisfaction" — with the distinction of Sobresaliente cum laude.
My research focuses on building trustworthy and ethical AI systems, with particular attention to how machine learning can be applied responsibly in educational and social contexts. I combine technical rigor with a commitment to fairness, transparency, and inclusion.
I am also involved in scientific outreach, having participated in talks, podcasts, and public events to bring AI discussions to broader audiences — especially in Brazil.
Academic Background
Doctoral thesis: "Towards responsible higher education institutional analytics: a study of biases and dependencies on student satisfaction", directed by Dr. Carlos Alberto Castillo Ocaranza and Dr. Davinia Hernandez Leo.
Defence held on July 18th, 2025.
Sobresaliente cum laudeMaster's thesis: "Contributions of machine learning to knowledge acquisition in the field of social sciences", directed by Dr. Dante Barone and Dr. Henrique Carlos Castro.
Excellent / ExcelenteBachelor's thesis: "Sistema Computacional para previsão da dispersão da ferrugem asiática da soja a partir de dados meteorológicos e de ocorrência da doença", directed by Dr. Ivarton Monteiro Santos.
Selected Work
AI For Social Good — World of Story · Brazil
An initiative using storytelling and AI to foster creativity, empathy, and education in underserved communities across Brazil.
My Life Story in a Book — World Dream Project
A collaborative international project turning personal life stories into published books, available worldwide.
Research Output
Latest Updates
Successfully defended doctoral thesis at UPF
Defended with the distinction Sobresaliente cum laude at Universitat Pompeu Fabra on July 18, 2025.
New paper in the Journal of New Approaches in Educational Research
Beyond Bias in Student Satisfaction Surveys — published in 2025.
Paper Award — Brazilian Congress of Precision Agriculture
Award-winning research recognised at the Brazilian Congress of Precision Agriculture.
Brazilian Congress of Precision Agriculture looks to the future
Coverage of the event and research presented at the 2018 congress, featured in Gestagro 360.
Scientific Dissemination
Get in Touch
Open to collaborations, speaking invitations, and conversations about responsible AI, education, and social impact. Feel free to reach out through any of the channels below.