I'm hiring! I'm building 4 research groups under me at AISI (formerly the UK's Taskforce on Frontier AI) to work on foundational AI safety research. [1/5] gov.uk/government/pub…

So excited about the outcome of our team work - we productionized a #GNN powering Spotify's audiobook recommendations and will present the science behind the model The Web Conference #TheWebConf2024! Congratulations to my amazing coauthors!

Was really great spending time with Michael Mignano on-air! 🎙️ Got pretty deep into what product development in an AI world means and how we think about it at Spotify. But also touched on a few more philosophical questions around AI and it’s risks and benefits which I rarely get to talk

🚀 Dive into the future of data science at #DSA2024Nyeri! Join us at Dedan Kimathi University of Technology for an inspiring summer school from June 3rd to 5th. Explore cutting-edge topics including LLMs, and edge ML. Don't miss out - #RegisterNow and unlock your potential! tinyurl.com/426hamen 🔥

Yet more GNNs deployed all around us: arxiv.org/abs/2402.11139

We're looking for research interns to work with us at Spotify in the areas of AI, ML, IR, LLMs, Gen AI, recommender systems, speech processing, NLP, or economics. The interns will be based in our London office. Apply here: lifeatspotify.com/jobs/2024-summ… - applications close March 15th.

The manuscript for our paper to be presented The Web Conference - thanks for sharing AK !

I am thrilled to be joining Chan Zuckerberg Initiative and leading our AI strategy to determine how we utilize one of the world’s largest computing systems dedicated to nonprofit AI for life science research. We are assembling a world class research team for generative AI x Science to build large

Oh yes, amazing paper! Congratulations!

Check out the blog post of our #TheWebConference papers on "Personalizing Audiobooks and Podcasts with graph-based models", describing a big step towards a graph-based, foundation model tailored to the personalization domain, from research to roll-out 🚀 research.atspotify.com/2024/05/person…

Opportunity to work with the amazing Nikos Aletras on a timely and important topic!

Delighted to share Generative Query Recommendations via LLMs. We show how LLMs enhance web search by improving queries in the absence of query logs. Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri. arxiv.org/pdf/2405.19749 Work done prior to joining Amazon.

Happy to share our latest blog post on our paper "Socially-Motivated Music Recommendation" presented at #ICWSM2024 this week. This work explores an alternative music recommendation task and its relation to cultural differences in music listening. research.atspotify.com/2024/06/social…

Super excited to welcome SIGKDD 2025 in Barcelona 🚀 I’ll be at the conference this week, so feel free to ping me to talk about GNNs, GenAI for recs or anything Barcelona related 🎉

Come and work with us! We’re looking for a SL (~Assoc. Prof.) to join our #NLProc group. If you want more info about the post, drop me a message or email.

🚨Hiring alert! My team Spotify Research is looking to hire a research scientist with a machine learning background! Come help us improve personalization experiences by integrating innovative generative AI technologies into our recommender systems. lifeatspotify.com/jobs/research-…

Thrilled to share our research at Spotify as a keynote speaker at RecSys in beautiful Bari! It is an honour to present at a conference so closely aligned with our work. Thank you for the invitation—truly a privilege and a pleasure! #RecSys2024 Spotify Research

It’s been one year since we launched Audiobooks for Spotify Premium users and it’s been really cool to watch the excitement from both listeners and authors grow. A few things to share: 💰 We’ve already paid hundreds of millions to publishers, and are excited about the all the

Just presented our paper on generative search & recs at #recsys24! 📈Presentation: docs.google.com/presentation/d… 📄Paper: dl.acm.org/doi/10.1145/36…

It was a true honour to present our research at Spotify during #RecSys2024. Sharing our work in such a unique theatre setting was an unforgettable experience. Thank you to everyone involved!