Grant Mcnatt Email & Phone Number

College Station, Texas, United States

Collaborating with Dr. Joshua Peeples on the "Anomaly Detection for Synthetic Aperture Radar" project. Specialized in developing and implementing machine learning models, particularly convolutional neural networks (CNNs), for analyzing SAR imagery. Focused on creating general-purpose layers for remote sensing applications and handling large-scale datasets.Machine Learning Model Development: Proficient in designing and training CNNs for anomaly detection in SAR data.Data Analysis: Experienced with large-scale dataset management and preprocessing for optimal model performance.Performance Evaluation: Skilled in testing models using various metrics to ensure accuracy and reliability.High-Performance Computing: Utilize high-end processors and memory resources to manage complex computations.Cross-Domain Applications: Contribute to advancements in high-stakes domains such as criminal justice, finance, and healthcare through improved remote sensing technologies.

Bryan–College Station, Texas, United States

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.

Bachelor'S Degree, Biomedical Engineering

Activities and Societies: Aggies For Limbs, Sophomores Advancing In Leadership, Biomedical Engineering Society, Fish Camp, Aggie Coding.

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