• Conducted research on the cocktail party problem – aiming to develop an effective algorithm to separate composite acoustic signals into individual sources.• Created a neural network using Python, PyTorch and TorchAudio to perform speech-to-text and phoneme classification on the isolated signals.• Developed a research framework and data pipeline for exploring the relationship between pupil size and the autonomous nervous system through eye tracking software/hardware and the Python ecosystem.