About Me
Hello! I am a PhD candidate at the University of Toronto’s Faculty of Information, under the supervision of Rohan Alexander. I study how people work with data!
More specifically, my dissertation research uses tools and methods from information scholarship to study data practices in interdisciplinary settings. While my dissertation research combines my interests in data practice and interdisciplinarity, I explore both topics individually in other, ongoing research collaborations. My academic work is informed by my professional experience as a data scientist in the public sector.
I developed and teach courses on sampling methods and data visualization, and have led workshops and invited talks on ‘Reading and Writing About Data’ and ‘Critical Data Science’.
Education
- 🖥️ PhD in Information (University of Toronto), Ongoing
- 📖 Master of Information (University of Toronto), 2022
- 🔬 Hons. Bachelor of Science in Integrated Science (McMaster University), 2020
Current Projects
- 📝 Dissertation work (final revisions on literature review paper and empirical paper in progress)
- 🍁 Comparing data and AI strategy documents (short paper accepted to ASIS&T 2025! Full-length paper exploring a larger corpus of government policy documents under review)
- 💻 Considering structured dataset documentation as tools for reflexivity (completing revisions on FAccT’26 manuscript)
