Conversational Timing Lab
I investigated when a speaker has actually finished, keeping turn completion separate from the timing of the next response and testing pause-based assumptions against recorded conversations.
Source code5 entries
I investigated when a speaker has actually finished, keeping turn completion separate from the timing of the next response and testing pause-based assumptions against recorded conversations.
Source codeI studied whether diffusion models trained on normal magnetic-field signals could identify electrical faults, separating reconstruction quality from the detection behaviour needed in a monitoring system.
Sentient was an experiment in an agent learning its way through a changing 2D environment, with food and hazards giving its movement a consequence.
This academic study examined how poisoned training data affected malware classifiers, comparing attack success with the clean detection behaviour that still had to be preserved.
I worked with track-level music data to compare genres through their features, building the preprocessing and training workflow alongside plots of the dataset.
Source code