[Work & Writing](/work)

# Machine learning

5 entries

## 2026

- [View case study](/work/conversational-timing-lab)

  ### [Conversational Timing Lab](/work/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.

  - Machine learning
  - Research
  - Voice

  [Source code](https://github.com/Slaymish/conversational-timing-lab)

## 2025

- [View case study](/work/grid-diffusion-ad)

  ### [Grid Diffusion AD](/work/grid-diffusion-ad)

  I 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.

  - AI
  - Machine learning
  - Research
  - Time series

- [View case study](/work/sentient-environment-explorer)

  ### [Sentient Environment Explorer](/work/sentient-environment-explorer)

  Sentient was an experiment in an agent learning its way through a changing 2D environment, with food and hazards giving its movement a consequence.

  - Machine learning
  - Python
  - Simulation

- [View case study](/work/malware-classifier-backdoors)

  ### [Malware Classifier Backdoors](/work/malware-classifier-backdoors)

  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.

  - Machine learning
  - Research
  - Security

## 2024

- [View case study](/work/music-genre-classification)

  ### [Music Genre Classification](/work/music-genre-classification)

  I worked with track-level music data to compare genres through their features, building the preprocessing and training workflow alongside plots of the dataset.

  - Machine learning
  - Music
  - Research

  [Source code](https://github.com/Slaymish/Musicical-Genre-Classifier)