All speakers
Jacqueline Wood
Staff Machine Learning Engineer, Spotify
Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo
Bio
Jacqueline Wood is a Staff Machine Learning Engineer at Spotify, where she builds personalized, language-steerable generative recommenders. Her applied research focuses on adapting open-weight LLMs with semantic IDs to connect natural-language intent with Spotify catalog entities.
Sessions
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.