Pedro Simões Coelho

Pedro Simões Coelho serves as Full Professor at NOVA Information Management School (NOVA IMS) of NOVA University Lisbon and researcher at the Information Management Research Center (MagIC). His prominent affiliations include:

• Senior Expert for Statistical Methods at the European Commission
• Board Member of the European Master of Official Statistics (EMOS)
• Member of iSchools Accreditation Committee
• Member of Portuguese Health Technologies Commission
• Head of Information and Statistics at NOVA Clinical Research Unit

His academic credentials comprise a post-doctoral degree (aggregation) in Statistics, PhD in Statistics, MSc in Statistics and Information Management, and graduation in Systems Engineering – all from NOVA University. Previous leadership roles include President of CLAD's General Assembly and membership in Portugal's High Council for Statistics.

Professor Coelho's research focuses on advancing statistical methodologies with applications in survey design, data analysis, and information management. His work bridges theoretical statistics with practical implementations in official statistics and health technology sectors, emphasizing Sampling Techniques, Structural Equation Modeling, and Marketing Research. This interdisciplinary approach supports evidence-based decision making across governmental and international organizations.

His substantial scholarly output includes over 100 refereed publications and 500 research reports, demonstrating consistent contributions to statistical methodology development. The publication trend shows strong emphasis on practical applications of sampling techniques and data analysis frameworks for real-world statistical challenges.

Professor Coelho maintains active research funding through extensive consultancy engagements with major statistical bodies. His work with the European Commission, Eurostat, and national statistical offices worldwide involves developing specialized methodologies and delivering advanced training programs in data analysis techniques. These collaborations provide robust resources for supervised research activities.

He leads the information and statistics unit at NOVA Clinical Research Unit while contributing to the Information Management Research Center (MagIC), fostering collaborative research environments that integrate statistical theory with practical data management applications across multiple sectors.