Grant McNatt

Research Assistant

Advanced Vision and Learning Lab•  September 2024 - Present•  College Station, TX

Engineered Convolutional Neural Networks using PyTorch for anomaly detection in synthetic aperture sonar imagery, leveraging High-Performance Computing to train on large-scale datasets for Sandia National Laboratories-funded research. Devised data augmentation strategies, advanced feature engineering, and preprocessing pipelines to enhance model generalization and robustness in real-world scenarios.

Undergraduate Research Intern

Reddy Lab - Texas A&M University School of Medicine•  May 2024 - August 2024•  Bryan, TX

Developed a MATLAB and C++ software package to process real-time EEG data, efficiently generating spectrograms for outlier analysis for neurological research. Conducted supervised learning algorithms and recurrence quantitative analysis on longitudinal time series data, identifying key biomarkers associated with epileptogenesis.