My research interests include natural language processing, machine learning, computational social science, word embeddings, word semantics, and data science. Currently, I am working on a project analyzing the stability of word embeddings.
In addition to research, I enjoy teaching computer science. Selected relevant experience is listed below.
- Co-instructor: EECS 498/595 - Natural Language Processing (Fall 2017)
- Graduate Student Instructor: EECS 281 - Data Structures and Algorithms (Fall 2015, Winter 2016)
- Python tutorial instructor at CS KickStart (Summer 2017)
- Hour of Code volunteer (2017)
- Teaching Assistant: CS and Physics classes at Grove City College (Fall 2012 - Spring 2015)
- Personal Tutor: One-on-one tutor for students struggling in CS (Fall 2013 - Spring 2015)
My vision is to see computer science become a more diverse field where women and other underrepresented minorities have the tools and opportunities needed to succeed. Towards that end, I am interested in exploring creative solutions to both recruit and retain women in technology.
One project I am involved in is CS KickStart, a week-long summer program designed to help women explore computer science. I was one of the original organizers who brought this program to UM in August 2016. In addition, I handled industrial relations in 2016 and continued to serve as an advisor in 2017.
I am also involved in the Girls Encoded initiative at the University of Michigan. This umbrella organization raises funds and distributes them to promote a wide variety of activities aimed at increasing diversity. I am a co-organizer of this initiative, as well as an event planner and member of student funding committees.
Lightning talks by women computer scientist researchers at UM (11/2017)