Enveda and Kaggle offer $50,000 prize pool for identifying molecules from mass spectra
Kaggle says the Enveda CASMI 2026 competition asks entrants to build machine learning models that predict 2-D chemical structures from mass spectrometry data. The entry deadline is December 7, 2026.
TLDR
Kaggle says mass spectrometry detects thousands of molecules in nature, but most remain unidentified. Its Enveda CASMI 2026 competition, co-hosted with Enveda, challenges entrants to predict 2-D chemical structures from LC-MS/MS spectra using machine learning. Kaggle lists a $50,000 prize pool and a December 7, 2026 entry deadline.
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