Nicolas Jonason
person·researcher·unknown
Music-AI researcher whose 2026 KTH doctoral thesis examined neural synthesis, multimodal representations and symbolic generation.
Recorded facts
| Official site | https://www.kth.se/en/om/upptack/kalender/disputationer/bittersweet-lessons-in-music-ai-research-1.1461701 ↗ |
|---|---|
| Geography | Sweden |
| role subtypes | researcher; engineer |
| geography basis | Public professional activity in Sweden; residence, nationality, and protected attributes are not inferred. |
| information scope | Public professional information necessary for AI Music Index; no private contact data. |
| organization roles | role: Doctoral researcher through thesis defense · status: recent_or_unresolved · organization name: KTH Royal Institute of Technology · organization research key: org_kth_royal_institute_of_technology |
| professional names | Nicolas Jonason |
| fields of expertise | neural instrument synthesis; multimodal music representations; symbolic music generation |
| professional languages | unknown |
| latest relevant activity | date: 2026-03-27 · description: Defended the KTH thesis Bittersweet Lessons in Music AI Research. · date precision: day |
| professional geographies | Sweden |
| public professional biography | Music-AI researcher whose 2026 KTH doctoral thesis examined neural synthesis, multimodal representations and symbolic generation. |
| works research products events public outcomes | Bittersweet Lessons in Music AI Research |
Current
| works at | KTH Royal Institute of TechnologySource 1 ↗ VERIFIED medium confidence |
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Sources & changes
Checked 10d ago · highhow verification works
Field-level evidence
Public change history
- Status unknown → unknown
- Official URL unknown → www.kth.se/en/om/upptack/kalender/disputationer/bittersweet-lessons-in-music-ai-research-1.1461701
- Record maintenance · 12 fields updated
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