Rodrigo Dal Ben
Rodrigo Dal Ben
Psychology — Data — Science

Research

These are some of my most recent research projects. For a full list of references and other projects, please check my CV. To learn more about my research interests, please check the About section.

Consulting

Quantitative data analysis

Repoducible quantitative data analyses using frequentist and bayesian models (mixed-models, survival analysis, growth curves, nonlinear models...), as well as data wrangling, visualization, and management.

Experimental Programming

Design and coding of highly precise and user-friendly experiments (online & offline; using Python/ Psychopy, MATLAB, SR-Research...).

Trusted by:

I am a researcher and instructor broadly interested in learning, language, and quantitative data analysis. I am passionate about parsimonious theories and inventive methods. I am constantly working with empirical research and data science (wrangling, visualization, analyses...the whole package). I strive to do so following open science best practices. Whenever possible, I use open software and version controlled repositories that allows me to share my work in a transparent and reproducible way (R, Python, GitHub, OSF...).

My teaching is centered around active learners and problem solving. I believe that we are eager to learn things that ressonate with our personal experiences. Being trained with teams from Brazil, USA, and Canada, gives me a unique perspective of how cultural backgrounds permeate each and every step of research and teaching. I strive to welcome and recognize the diversity of experiences that each student brings to the classroom or to the lab.

In January 2024 I have joined the Dr. Marshall’s research team at the Cumming School of Medicine, University of Calgary, as a Senior Research Analyst. I am focused on Health economics data, developing sustainable data management practices, and reproducible data analysis pipelines. Prior to that, I worked as an Assistant Professor and Postdoctoral Fellow (teaching focused) at Ambrose University, Calgary. Where I taught research methods and quantitative data analysis. I also collaborated on projects involving open science in infant research and large-scale collaborations. Before that I was a Horizon postdoctoral fellow (research focused) at Concordia Infant Research Lab, Montreal, where I worked with Krista Byers-Heinlein.