Mateo Cámara

I build Artificial Intelligence systems — and make them robust enough to trust.

I’m an Assistant Professor at the Universidad Politécnica de Madrid, in the GAPS signal-processing group, where I also earned my Ph.D. cum laude in neural audio synthesis. My work turns deep learning into controllable, interpretable models of speech and audio.

In 2025 I was a Postdoctoral Fellow at MIT’s Research Laboratory of Electronics, working with Dr. Stefanie Shattuck-Hufnagel on acoustic landmarks in speech. In 2026, a Santander Postdoctoral Fellowship supports a new research stay at Queen Mary University of London.

Earlier, I co-founded a location-intelligence startup — now geogeogeogeo — and I build open-source tools like sota.ai, an LLM-assisted research assistant. Throughout, I care about models that are robust, controllable and easy to trust, and about explaining them clearly: in a paper, a lecture, or a demo you can press play on.

Research interests

  • neural audio synthesis
  • voice cloning
  • LLM tooling & agents
  • geospatial AI
  • model interpretability
  • signal processing

Curriculum vitae