University of Toronto · Department of Computer Science

I study how people can think critically with AI.

My work combines empirical studies with the design of interfaces and workflows that scaffold judgment, reflection, and responsibility rather than displacing them.

I'm a 2nd year PhD student in the Dynamic Graphics Project (DGP) Lab, advised by Prof. Michael Liut and Prof. Carolina Nobre. My work spans complex knowledge work and computing education, with publications at venues including at HCI venues like CHI, IUI, CHIWORK, and CER venues like AIED, ITiCSE, and SIGCSE.

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Selected work

Projects

Research systems and studies across human-AI collaboration, AI education, explainability, and mixed-initiative knowledge work.

Transparency and academic integrity

AI Disclosure and Attribution in Programming Education

A study of how students and instructors interpret AI disclosure requirements in programming courses, and what those requirements ask of the people who follow them.

Sensemaking and reflexivity

Mixed-Initiative Systems for Qualitative Analysis

Two systems supporting interpretation in qualitative research: a mixed-initiative canvas for sensemaking, and deliberation scaffolds for collaborative coding.

Evidence synthesis

Designing AI Support for Systematic Literature Reviews

A study of where automation belongs in systematic literature review, and an open-source tool built on the resulting design guidance.

AI literacy and prompting

Improving Student-AI Interaction Through Pedagogical Prompting

An instructional approach treating prompting as a learning skill, evaluated through a randomized controlled trial in an introductory programming course.