Welcome to my personal homepage
I am a senior research manager and lab lead at Spotify based in 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".
Contact
Email: andreasd [a] spotify [dot] com
BlueSky: @andreasdam.bsky.social
Google Scholar
News
- 2025: Delivering a series of seminars on foundational representation learning for personalization and scalable solutions deployed across Spotify.
- June 2024: At Data Science Africa (remotely) teaching LLMs and prompt engineering!
- May 2024: At Singapore presenting our two papers at the Web Conference!
- Aug. 2023: Our paper "Graph Learning for Exploratory Query Suggestions in an Instant Search System" was accepted at CIKM industry track.
- Apr. 2023: Honoured to have received the Test of Time Award at AISTATS 2023 together with Prof. Neil Lawrence! We'll give a 1h talk about Deep GPs!