Stanford Dept. Biomedical Data Sciences


Research Assistant

W ’18 – S ’21 ML Generative Models

  • Built deep generative models to model brain activity while incorporating physics-based models for denoising and data augmentation
  • Applied predictive techniques to identify signal anomalies in Stanford Seizure clinic EEG dataset

check out -> project


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Daniel Longo, 2022
forked from milesmcc