Causal inference can have a huge impact in healthcare, drug discovery, & beyond - if used correctly. Check out my latest for @newscientist , featuring discussions with @eliasbareinboim, @Susan_Athey, @suchisaria, @KiraRadinsky, @yudapearl, @AdrianRaftery1

🚨 Job alert 🚨 The #causalinference lab @SpotifyResearch is hiring a research scientist! Come help us push the state-of-the-art in causal machine learning to reshape Spotify’s existing products, develop new ones, and improve decision-making at scale. 👉 https://t.co/NlFE6bZBLz

🚨 Internship alert🚨 The #causalinference research lab @SpotifyResearch is hiring research scientist interns! Come help us push the state-of-the-art in causal machine learning and craft tools to improve actionable decision making. Apply at:

Meet the 2024 #AIAwardsIrl Winners 🏆 2024 #AI Person of the Year @quantumciaran celebrates @Spotify's advancements in leveraging #data, emphasizing improved decision-making by uncovering #causal insights to drive impactful, trustworthy outcomes beyond mere correlations

Honoured to have been named AI Person of the Year at the 2024 AI Awards Ireland @AIAwardsIrl for our work in Causal ML @SpotifyResearch

Next week I’ll be chatting to @AleksanderMolak for a live episode of the Causal Bandits podcast. Tune in if you’re interested in hearing about some of these topics👇

I'm excited to chat to @AleksanderMolak on the #CausalBanditsPodcast about all things causal inference and ML during this years Causal Data Science meeting.

Really looking forward to speaking at the #causal AI conference at The Royal Society later in September. I’ll be overviewing some of the latest research from the causal ML lab at @SpotifyResearch.

I had a lovely time chatting about all things causal inference on the @AIAwardsIrl podcast. Check it out if you're interested in learning about the problems the Causal Machine Learning research lab @SpotifyResearch is currently tackling 👇

Link to the paper for those interested:

Excited to present recent work from the Causal ML lab @SpotifyResearch, about estimating long-term effects when only short-run experiments are available (work joint w/ @notoriousgvg @lucasmaystre), at the first @nabe_econ Tech Economics Seminar this week.

Looking forward to speaking at the #CONSEQUENCES2024 workshop @ACMRecSys later this year! I’ll be sharing some of the latest causality research from @SpotifyResearch.

🚨 Internship alert 🚨 The causal inference lab @SpotifyResearch is hiring research scientist interns! Come help us push the state-of-the-art in causal machine learning and craft tools to improve actionable decision making. Apply at:

Thrilled to be named a finalist in @AIAwardsIrl “AI Person of the Year” award for my @SpotifyResearch work on Causal ML! Read more about the award here 👉

Check out the latest blog post from the causal inference lab @SpotifyResearch for a write up of our recent @NatMachIntell paper combining ML & Twin Networks to answer counterfactual queries from the top layer of @yudapearl's causal hierarchy.

If you want to perform sensitivity analysis of synthetic control models, check out our latest @SpotifyResearch paper👇 It also formulates synthetic controls in @yudapearl's structural causal model framework.

Realised that the links to the paper and the MIT Tech Review article aren’t working. Here’s the link to the Tech Rev article: https://t.co/WPe8LOyR3Y Here’s the link to the paper:

The next is about non-parametric identifiability of synthetic controls in @yudapearl's structural causal model framework, which we use to provide general sensitivity analysis. It's joint work w/ @jakobzeitler & @vlontzos. Check out the details in our blog!

The first one is about estimating long-term causal effects from short-term experiments and long-term observational data when unobserved confounding is present. It's joint work with @notoriousgvg and @lucasmaystre. Check out the blog for the details!

The #causal inference lab at @SpotifyResearch has two papers at #CLeaR2023 @CLeaR_2022 this year. Check out this thread 🧵 for links to our blog posts outlining the work 👇

Thanks to great collaborators @vlontzos & @BernhardKainz1 for all their hard work on this paper. Link to @NatMachIntell paper: https://t.co/0B3pKqZEFn Link to @techreview article: https://t.co/WYTxk0i44v 9/9