Bob L. T. Sturm

person·researcher·active

KTH associate professor leading research on machine learning for music creation, including MUSAiC and computational approaches to folk music.

Verified facts

Official site	https://www.kth.se/en/om/nyheter/centrala-nyheter/vill-fa-ai-att-kanna-sig-generad-1.1250622 ↗
Geography	Sweden
role subtypes	researcher; professor
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: Associate Professor · status: current · organization name: KTH Royal Institute of Technology · organization research key: org_kth_royal_institute_of_technology
professional names	Bob L. T. Sturm
fields of expertise	music artificial intelligence; machine learning; computational creativity; folk music
professional languages	unknown
latest relevant activity	date: 2026-03-27 · description: Supervised Nicolas Jonason's KTH thesis on neural instrument synthesis, multimodal representations and symbolic generation. · date precision: day
professional geographies	Sweden
public professional biography	KTH associate professor leading research on machine learning for music creation, including MUSAiC and computational approaches to folk music.
works research products events public outcomes	Principal investigator of MUSAiC; Supervised the 2026 thesis Bittersweet Lessons in Music AI Research