Matteo Ruffini

I am a senior machine learning scientist at Amazon, where I am working on Information Retrieval and Unbiased Learning to Rank.

Before joining Amazon, I was a PhD student at Universitat Politècnica de Catalunya, in Barcelona, where I obtained a PhD in Computer Science.

I focus my research on both, theoretical and applied machine learning.

My current area of interest is the study and the development of machine learning algorithms able to learn unbiased models from biased user-interaction data.

In the past, I worked on methods with guarantees to learn high dimensional probabilistic latent variable models, studying their applicability to standard machine learning tasks, like clustering and natural language processing.

I also worked on machine learning for healthcare, applying latent variable models to retrieve latent patient representations in large-scale healthcare data.