I research how writing technologies shape workflow habits to better understand ways that writers interact with their audiences. My work centers on denaturalizing everyday writing tools to improve how we write.
I focus on five main areas: (1) participatory writing and audience awareness (especially on social media), (2) writing interfaces and templates, (3) AI and machine learning communication, (4) natural language processing, and (5) STEM/engineering communication. My research draws on interviewing, user experience, data structuring, web scraping, and computational methods to explore how writers, especially scientists, interact with audiences to disseminate their work in digital environments.
Topical research interests:
- Interactions between writers and audiences
- Science writing. Specifically, the writing process of scientists in machine learning & artificial intelligence
- Internet culture
- Technical writing
- The teaching of writing/teacher-student interactions, such as in feedback/commenting
Methodological research interests:
- Case study methods
- Psychometrics
- Interview methods
- Natural language processing
- Bibliometrics
- Web-scraping
Current projects:
- See CV