Siyi (Reyna) Wu
I am a Ph.D. student at University of Toronto Department of Computer Science, supervised by Professor Steve Easterbrook.
My research interests are: climate informatics, human-computer interaction, and explainable AI. My current project explores the applications of explainable AI in climate science, focusing on how climate scientists envision using machine learning.
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
| Apr 12, 2024 | Received Schwartz Reisman Institute for Technology and Society Fellowship |
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| 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. |