Álvaro Ribot

Hi! I'm a first year PhD Student in Applied Mathematics at Harvard University, where I am fortunate to be advised by Anna Seigal. My research is being supported by "la Caixa" Foundation and Real Colegio Complutense fellowships.

Before joining Harvard, I studied a double major in Mathematics and Data Science at the Polytechnic University of Catalonia (UPC), supported by the CFIS Program scholarship. I also had the great opporunity to pursue my bachelor's thesis at MIT advised by Caroline Uhler.

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I am broadly interested in applied mathematics and machine learning theory, in particular applied algebra and algebraic statistics. My research is currently focused on tensor decomposition and causality. See a list of publications below.

  1. Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
    with Chandler Squires and Caroline Uhler
    To appear in the 3rd conference on Causal Learning and Reasoning (CLeaR)