Deep Learning
Deep learning models are at the heart of major shifts across many sectors. These models have millions (or billions) of learnable parameters that sit in various layers and configurations depending on the task at hand. Most of my deep learning work focuses on using convolutional neural networks to classify audio/image data, but I have also integrated large language models into various workflows/projects.
2024

Deep Learning for Audio Classifcation of Wildlife Vocalizations
Passive Acoustic Monitoring allows researchers to get in-depth biodiversity data faster than ever before. Continue reading Deep Learning for Audio Classifcation of Wildlife Vocalizations
Passive Acoustic Monitoring
Passive Acoustic Monitoring allows researchers to get in-depth biodiversity data faster than ever before. Continue reading Passive Acoustic Monitoring