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First Prize — Team ScAIentists AI for Foundation Models for Science Hackathon

Prize: Prize (including medals and awards)

Description

Developed a climate-informed TabPFN foundation model to predict cherry blossom peak bloom in Toronto’s High Park, achieving a 79.4% reduction in prediction bias over a geography-only baseline (R² = 0.186) using cross-regional phenological data and fine-tuning with local climate features.
Degree of recognitionInternational
Granting OrganisationsUniversity of Toronto

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