PRAXIS is my MSc dissertation project at the University of Leicester: an end-to-end deep-learning system for voice-based biomarkers, designed and built from scratch. I architected and implemented the full pipeline: a self-supervised speech representation model plus a downstream biomarker system, and contributed multiple novel technical and methodological advances, documented in a 15,000+ word dissertation with full research rigour.

What I did:

Designed a custom deep-learning architecture for speech/audio

(self supervised learning + domain adaptation) Developed several original contributions in [voice-biomarker modelling/representation learning] (kept high-level to protect the method) Built a reproducible, rigorously evaluated pipeline end-to-end: data → model → results