Rebecca L. Wagner, M.S.

Research Fellow, Data Scientist

The Pennsylvania State University

As a cognitive neuroscientist and researcher, I use numerous data science methods to examine human memory, including:

harnessing both in-person and virtual methods to generate hypothesis-driven datasets
using R and MATLAB to wrangle, engineer, and analyze intricate datasets
implementing supervised and unsupervised ML algorithms to identify complex patterns within data
interpreting, visualizing, and disseminating results at varying levels - from the everyday layperson to top researchers in the field

Areas of Interest

Hypothesis Testing

Data does not just appear. I pride myself on developing relevant hypotheses, creating scientifically rigorous data collection methods, and ensuring quality data is produced from my projects.

Data Analytics

All data tells a story and I enjoy using analytical methods and visualization tools to translate complex datasets into actionable solutions.

Data Pipelines

No dataset is perfect and I thrive on creating flexible data pipelines using R, Python, and MATLab that can handle data at all stages, including preparation, feature engineering, and analyses.

Machine Learning

I find that marrying ML algorithms with existing data expands research's ability to identify intricate patterns and create predictive models that keep organizations at the forefront of what is next.