Hi there, I'm Jeffrey Girard!
I'm an Assistant Professor in the Department of Psychology at the University of Kansas. I work in clinical psychology and explore the links between mental health and nonverbal behavior. I collaborate with computer scientists and clinicians to develop technologies that support clinical practice. I use observational methods to quantify facial expressions and other behavioral signals. My main goal is to understand the role that behavioral signals play in emotion and interpersonal communication. I use data science techniques from statistics, machine learning, and software engineering to address research challenges. I love to develop, share, and teach about tools that increase scientific rigor and openness.
Lab Website: https://affcom.ku.edu
🔨 Tools and Frameworks:
💻 Software Projects:
circumplex - This is a stable R package for analyzing and visualizing circular data.
embedpdf - This is a stable Quarto extension for embedding PDF files in HTML.
CARMA - This is a stable (but approaching end-of-life) software for collecting continuous media annotations.
DARMA - This is a stable (but approaching end-of-life) software for collecting continuous two-dimensional media annotations.
mReliability - This is a stable (but approaching end-of-life) set of MATLAB functions for estimating inter-rater reliability.
wcc - This is an experimental R package for conducting windowed cross-correlation analyses.
varde - This is an experimental R package for decomposing the variance in mixed effects models.
agreement - This is an experimental R package for estimating inter-rater reliability.
tidymedia - This is an experimental R package for working with audio, video, and image files.
profiles - This is an experimental R package for managing multiple RStudio config profiles (and comes with RStudio addins).
🏫 Methodological Trainings:
- R for Social Scientists - This is a three day workshop introducing R, tidyverse, and easystats.
- Machine Learning in R with tidymodels - This is a three-hour workshop introducing machine learning and tidymodels.
- Applied Machine Learning in R - This is a four day workshop introducing machine learning and tidymodels.
📝 Blog Posts
- Using Fira Code Ligatures in RStudio
- Slides from Run Linux R on Windows 10
- A Conceptual Introduction to Machine Learning
- Running RStudio Server via Ubuntu 20 on Windows 10
- Row-wise means in dplyr