About
I am a computational social scientist working on AI learning and digital inequality, completing an MSc at Linköping University on a Swedish Institute Scholarship.
I spent eight years in IT support and IT leadership at a school, and for four of those years I also taught programming, first at the school and then at an NGO for students from low-income communities. That experience shapes the questions I ask now.
Today I use surveys, social networks and text data to ask who gets access to AI, who trusts it and who learns with it. I program in R and Python and bring training in computer science, systems analysis and development, science and technology, and law. I am looking for PhD positions in Scandinavia starting in 2027.
Recognition and milestones
- 2026
Supervised research internship, Institute for Analytical Sociology
Linköping University. Working on a method that places survey-based distance matrices on the surface of a sphere and tests whether it preserves them better than flat PCA and MDS maps.
- 2026
Working paper: Who Accepts AI at Work?
Independent, survey-weighted analysis of 26,404 respondents across the EU27 using Special Eurobarometer 554.
- 2026
Nordic University AI Policy Tracker
Designed and built an open-source Python pipeline that collects and codes university guidance on generative AI in five Nordic countries.
- 2026
Conference volunteer, European Conference on Social Networks (EUSN 2026)
Supported the running of the 8th EUSN, hosted by the Institute for Analytical Sociology in Norrköping in August.
- 2024
Education & Technology Impact AwardAward
For the programming course I designed and taught for students from low-income communities in Brazil.
- 2025
Swedish Institute ScholarshipAward
Awarded to international students with strong academic records and leadership potential. Funds my MSc at Linköping University.
Education
- 2024 to 2027
MSc Computational Social Science
Linköping University, Sweden. Swedish Institute Scholar, expected spring 2027. Courses include Social Network Analysis, Behavioural Mechanisms in the Social Sciences, Logic of Social Inquiry, Digital Strategies for Social Science Research, Contemporary Research in CSS, Agent-Based Modelling and Machine Learning for Social Science.
- 2021 to 2023
Systems Analysis and Development
Anhembi Morumbi University, Brazil. Java, Python, database modelling and software development.
- 2020 to 2023
BSc Computer Science
University of the City of São Paulo (UNICID), Brazil. Algorithms, data structures and systems analysis.
- 2018 to 2022
Bachelor of Laws
Paulista University (UNIP), Brazil. Including digital law and social research methods.
- 2017 to 2019
BSc Science and Technology
Federal University of São Paulo (UNIFESP), Brazil. Python, Java, JavaScript and agile software development.
Experience
- 2026
Research intern
Institute for Analytical Sociology, Linköping University. Supervised methods project on spherical embeddings of survey distance matrices.
- 2024 to 2025
Coding and English instructor
Decl. Brazil. Designed and taught a programming course for students from low-income communities.
- 2022 to 2024
Technology teacher
Astr. Taught coding, Scratch and Python with project-based curricula. Over 80% of students showed measurable improvement in coding, and 90% of feedback was positive.
- 2016 to 2024
IT lead and support specialist
Astr, Brazil. Eight years running all IT for a school of more than 400 students and staff: network, databases, email server and website. Trained administrative staff on school systems.
Methods and tools
- Survey analysis: weighting, regression, fixed effects
- Networks: descriptive SNA, stochastic actor-oriented models
- Multivariate: PCA, MDS, hierarchical clustering
- Text and web data: scraping, spaCy, topic modelling
- Simulation: agent-based models
- Systems: systems analysis, databases, school IT infrastructure
- Programming: Python (fluent), R, SQL, Java, JavaScript
- Tools: Git, Quarto, SQLite, Streamlit, NetLogo
Languages
- Portuguese: native
- English: C2
- Norwegian: B1