Andreas Damianou

I am a senior research manager and lab lead at Spotify, based in the UK, working in machine learning and information retrieval. My lab drives application-driven research on representation learning at scale, including LLMs, GenAI and Agentic AI to advance search and recommender systems. In the recent past, I also led efforts around graph-based recommendations and their intersection with LLMs. All these efforts have delivered impact at scale, with solutions deployed to 500M+ users, powering new product launches (e.g. Audiobooks) and generating multi-million-dollar cost savings.

Before joining Spotify I was at Amazon, working on products in core ML, supply chain optimization and Alexa shopping. Prior to that I had co-founded Inferentia, a start-up that was eventually acqui-hired by Amazon.

I also worked as a research associate in machine learning and social robotics at Sheffield, and before that I pursued my PhD degree working with prof. Neil Lawrence. Deep Gaussian processes, which was a core topic introduced as part of my thesis, earned the Test of Time Award at AISTATS as “a paper from 10 years ago that has had a prominent impact in the field”.

Publications & Writing

Research publications: Google Scholar.

Some of my writings on Spotify Research and Amazon Science.

Selected Talks

Selected topics and past presentations: Talks.