Miguel Ramalho is an investigative technologist and data scientist with a decade of experience applying software engineering and data analysis to fraud detection and open-source investigative work. Based in the Netherlands, he has moved from building fraud-prevention systems at Wise to driving data-driven investigations at Bellingcat, where he now combines technical tooling with journalistic rigor. His background includes master's-level research stints at the University of Toronto and Edinburgh, reflecting a strong foundation in applied computer science and research-led problem solving. Known for translating messy real-world signals into auditable workflows, he focuses on leveraging data and tech for social good rather than purely commercial metrics.
10 years of coding experience
1 year of employment as a software developer
Post Graduate Visiting Student Computer Science, Post Graduate Visiting Student Computer Science at The University of Edinburgh
Master's Degree in Informatics and Computing Engineering Informatics, Master's Degree in Informatics and Computing Engineering Informatics at Faculdade de Engenharia da Universidade do Porto
Master Thesis Visiting Student Computer Science, Master Thesis Visiting Student Computer Science at University of Toronto
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