His work lies at the intersection of teacher professional development, data-informed decision-making, teaching quality, and educational improvement. He is an educational psychologist and researcher whose work focuses on how teachers and school leaders learn from data and scientific evidence to improve instructional practices and educational outcomes.

His research examines the design, implementation, and evaluation of professional development programs that support the effective use of data within schools, including multi-tiered systems of support (MTSS) and collaborative improvement structures. A central strand of his work explores how student perceptions of teaching quality can be systematically collected, analyzed, and translated into actionable feedback for teachers and instructional leaders.

Methodologically, his work combines psychometric approaches (CTT, CFA, IRT), multilevel modeling, and structural equation modeling with design-based research. He has led and collaborated on large-scale studies involving thousands of teachers and students, often in partnership with schools, districts, and educational technology providers.
In parallel, his research addresses the adoption and use of educational technologies, examining factors that influence teachers’ engagement with data platforms and digital tools for assessment, planning, and feedback. Across projects, his work aims to bridge rigorous educational research with practical, scalable solutions that strengthen evidence-based practice in real school contexts.

His research interests focus on teacher professional development, data-informed decision-making, and the improvement of teaching quality in school and higher education contexts. His work aims to understand how teachers and educational leaders use data and scientific evidence to reflect on their practices, design improvement strategies, and implement sustainable pedagogical change.

A central line of his research examines the use of student perceptions of teaching quality as a valid and meaningful source of evidence for instructional improvement. In this area, he studies how such data can be systematically collected, analyzed, and integrated into feedback processes, teacher coaching, and professional learning communities.

Another key focus of his work is the design and evaluation of teacher professional development programs, particularly those aimed at strengthening data use, professional collaboration, and multi-tiered systems of support (MTSS). His research explores both program effectiveness and the mechanisms that facilitate or hinder implementation in real-world educational settings.

In addition, he investigates the adoption and use of educational technologies, examining individual, organizational, and technological factors that influence teachers’ engagement with digital platforms for assessment, planning, and feedback. Methodologically, his work combines advanced quantitative approaches (psychometrics, multilevel modeling, structural equation modeling) with applied and design-based research, aiming to generate rigorous knowledge with direct relevance for educational practice.

His university teaching has been developed primarily at Universidad de los Andes, where he has taught undergraduate and graduate courses in psychology and education. His teaching areas include Psychology of Learning and Teaching, Educational Psychology, Effective Education Systems, and Data Analysis and Data Use in Education in master’s programs.

His teaching approach is characterized by the systematic integration of scientific evidence, active learning strategies, and formative assessment, with a strong emphasis on developing students’ analytical and critical thinking skills. His courses are designed to help students engage with empirical research, interpret educational data, and critically examine teaching quality and instructional practices.

He incorporates methodologies such as problem-based learning, retrieval practice, peer feedback, and the pedagogical use of digital technologies and data analysis tools. In graduate-level courses, he emphasizes the practical application of data analysis for educational decision-making, supporting students in the use of statistical software and the design of applied research projects.

In addition, he conducts research on his own university teaching and advises other faculty members on the design, implementation, and evaluation of evidence-informed teaching practices. His teaching aims to prepare professionals who can effectively integrate theory, data, and practice to improve education in real-world contexts.