I am working at the intersection of academic research and industry innovation in deep learning applied to music.

My work explores new possibilities for musical expression and interaction through AI-driven tools and real-time systems.

---

Core Activities

• PhD Research @ IRCAM:
  Member of the ACIDS research group (within the Analysis Synthesis Team). My research focuses on neural audio synthesis and model-driven instruments.
  → Explore my Research Projects

• Research Engineering @ Native Instruments:
  Applying deep learning to sound technology within the Audio Research Team.

• Teaching @ ATIAM:
  Courses on Ableton and Pure Data.
  → Hear student projects on SoundCloud

---

Research Interests

1. Real-time Neural Audio Synthesis
   Deep generative models for responsive, expressive sound generation.

2. AI-Controlled Instruments
   Instruments where musicians modulate latent space or descriptors.

3. Interface & Hardware Integration
   Embedding intelligent systems directly into modular and hardware setups.

4. AI’s Artistic Role
   Investigating the aesthetic and societal implications of AI in music creation.

---

Explore Further

• Publications & Presentations
• Main Projects
• Teaching Materials

---

Beyond Research

I also create electronic music influenced by cinematic deep techno and modular synthesis. I believe in the power of shared creativity and am always open to collaborations—artistic, academic, or hybrid.

---

Contact

You can reach me for academic, artistic, or collaborative inquiries:

**Ninon Devis** *PhD Candidate* – IRCAM / Sorbonne Université *Research Engineer* – Native Instruments *Lecturer* – UPMC / ATIAM Master 📧 ninon.devis@ircam.fr 📍 Paris & Berlin