Pablo de Castro

Pablo De Castro is an AI Engineer and Co-Founder at Reforestum. Pablo has a wide range of experience in different aspects of machine learning, including working on possible applications of topological data analysis, developing a open-source package re-implementing the MAPPER algorithm with a scikit-learn-like API, and working on new machine learning techniques to construct inference-aware summary statistics. Pablo also has experience in High Energy Physics data analyses, specifically on the non-resonant Higgs pair production analysis at the LHC with the CMS detector and the integration of TensorFlow-based multi-class jet tagger model DeepJet in CMS software.

Pablo De Castro has a PhD in Physics from Università degli Studi di Padova, a Master's degree in Physics from Universidad de Cantabria, and a Bachelor's degree in Physics from Universidad de Cantabria. Pablo was an exchange student at Imperial College London.

Pablo De Castro reports to Diego Sanz, CEO & Founder. They work with Ulises Gascón - Tech Lead, Pablo Delgado García - Software Developer, and Teba Gomez - Software Engineer.