I am a Psychometrician based in Montreal, Quebec, with close to two decades of experience in measurement, assessment, and applied research methods. My work focuses on helping clients make sound, defensible decisions when working with complex data—particularly in contexts where standard approaches are not sufficient or assumptions do not cleanly hold.

My background is in Psychology. I obtained a B.A. and professional licensure in Guatemala, where I worked as a school psychologist before transitioning into research and measurement. I later completed an M.A. in Psychology and pursued advanced doctoral-level studies. Over the course of my career, I have worked extensively on the development and validation of measurement instruments across health, industrial-organizational, educational, developmental, and clinical contexts.

As a consultant, I specialize in latent variable modeling and mixed effects modeling for nested, longitudinal, and unbalanced data. I regularly work on problems involving scale development, validation, and the analysis of complex datasets where methodological choices materially affect interpretation. My approach emphasizes not only technical rigor, but also clarity in how methods are selected, justified, and communicated to stakeholders.

I also bring extensive experience in the full lifecycle of assessment and product development—from blueprinting and construct definition, to data collection, modeling, scoring, validation, and post-launch evaluation. This includes item development, scoring algorithm design, predictive modeling, and quality assurance. My work is grounded in a strong understanding of reliability, validity, and the practical constraints of real-world data.

I am proficient in R, Mplus, SAS, and SPSS, and I select tools based on the needs of the problem rather than preference for a particular platform.