My work seeks to combine my passions for data science, mathematics, education, and outreach. I believe everyone can find a place in STEM and I am constantly working to break systemic barriers to make science more accessible to our students and to the general public.
Exploring the impact and ability of Natural Language Processing techniques for information extraction in systematic literature reviews.
Using Social Network Analysis techniques to analyze and model data from Slack interactions between Physics instructors looking to better incorporate computation into their courses
Developing curriculum materials focused on data and algorthmic bias for an introduction to data science and computing course.
President for Graduate Women In Science (GWIS) Mid-Michigan Chapter