About Me
I am a 3rd year Ph.D. student in the Faculty of Information at the University of Toronto. I am advised by Dr. Shion Guha. I am a member of the Human-Centred Data Science Lab, a Junior Fellow at Massey College, and a 2024 graduate fellow at the Schwartz Reisman Institute for Technology and Society.
In my research, I used mixed methods to explore decision-making in public sociotechnical systems and the ramifications of introducing AI in these domains. In my work, I strive to partner with communites and public agencies to examine how data and computational systems can augment and/or hinder decision-making within existing organizational infrastructures and its downstream impact on impacted stakeholders.
I hold a Master of Information from the University of Toronto and a Bachelor of Arts in Economics from the University of Chicago.
Recent News
- 2024 I was selected as a 2024 Graduate Fellow at the Schwartz Reisman Institute for Technology and Society. Find out more here
- 2024 I received the 2024-25 Mary H. Beatty Fellowship again (I was awarded the fellowship in 2023-24 as well)
- 2024 Paper “Beyond Predictive Algorithms in Child Welfare” was accepted at GI’2024
- 2024 Paper “A Human-Centered Review of Algorithms in Homelessness Research” was accepted at CHI’2024
- 2023 Our paper “Rethinking “Risk” in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare” was accepted at CHI’2023 and received the Best Paper Award 🏆
- 2022 I attended the Human-Centered AI (HCAI) workshop at NeurIPS’22 position paper
- 2022 Our paper “Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis” has been accepted to CHI’2022. This paper offers the first computational analysis of child-welfare casenotes using NLP techniques and introduces them as a critical data source.