• Improved industry standard geophysical tools by integrating in PyTorch support

• Investigating novel methods of solving geophysical problems using Monte Carlo techniques and machine learning

• Developed and deployed novel ML methods for deepfake detection with state of the art performance

• Curated large datasets of speech, singing, and musical deepfake and ai generated content for training detection methods.

• Implemented and tested published methods of deepfake detection to evaluate performance.

• Experimented with novel ML architectures in deepfake detection to improve performance.

Assisted with Neuroscience research in the Murphy Lab:

• Using Pytorch based Neural Networks for decoding Optogenetic signals into behavior videos.

• Extended and Improved state of the art neural network embedding techniques to work with widefield

Mesoscope data.

• Designed and constructed experiment setups for researching social interaction and strokes in mice using

laser cutting, 3d printing, and machining.

• Routed circuits and created PCB for circuits to drive Optogenetic imaging systems and camera arrays for

3d reconstruction.

• Investigated using transformer based neural networks for creating interpretable neural embeddings.

Lead a team using Matlab simulation and python to develop and simulate sail and rudder controllers for a fully autonomous sailboat allowing the boat to autonomous navigate the ocean.