Siyi (Reyna) Wu

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I am a fourth-year Ph.D. candidate in the Department of Computer Science at the University of Toronto, supervised by Professor Steve Easterbrook.

My research sits at the intersection of climate informatics, human–computer interaction, and explainable AI. My dissertation adopts a mixed-methods approach that integrates quantitative climate and ML analyses with qualitative studies of climate scientists’ lived experiences. This work examines how machine learning functions as a sociotechnical system within scientific workflows, epistemic cultures, and institutional infrastructures, and identifies gaps between prevailing ML framings and scientists’ situated needs.

I obtained my Bachelor’s degrees in Computer Science and Mathematical Statistics with honors from Wake Forest University. I then earned my MSc in financial technology at Hong Kong University of Science and Technology.

news

Jan 16, 2025 My first-authored paper, CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity, was accepted to CHI 2025.
Apr 12, 2024 Received Schwartz Reisman Institute for Technology and Society Fellowship
Mar 30, 2024 Our paper “Machine Learning Data Practices through a Data Curation Lens: An Evaluation Framework” was accepted to FAccT 2024
Mar 21, 2024 Our paper “Bridging the Usability Gap: A Research Agenda for Enhancing Climate Information and Communication” was accepted to Sustaining Scalable Sustainability CHI 2024 workshop.
Dec 15, 2023 Presented our work “Regional Studies of Multimodel Ensemble of Climate Projections for Enhanced Interpretability and Performance using Machine Learning Approaches” at AGU 2023.