Research

Applied machine learning for scientific problems: fusing messy, multi-modal real-world data into predictions scientists can use.

Research

Predicting Net Primary Productivity with Multi-Branch LSTMs

KDD Lab, New Mexico State University · Sep 2025 – Present

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A multi-branch LSTM that fuses satellite, precipitation, cattle-GPS, and land-cover data to predict net primary productivity across 71,000+ pixels, reaching R² 0.98.

LSTM
multi-modal fusion
temporal encoding
remote sensing
time-series regression