Ricardo Buitrago Ruiz

Education

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  Aquinas-Roncalli Debating Society

  2016 - 2019

  Debate and Public Speaking

  Awards at national debate competitions: • Spanish National Champion (PreCmude UAM, July 2019) • Second best speaker at I Torneo de Debate Vila de Verín (April, 2019) • Top team in speaker points in I Torneo BP CEU (March, 2019) and I Torneo de Debate Vila de Verín (April, 2019)Participation in international debate competitions: • Speaker at the Spanish World University Debate Championahip in Chile (July, 2018) and Peru (July, 2019) • Speaker at The Oxford… Show more Awards at national debate competitions: • Spanish National Champion (PreCmude UAM, July 2019) • Second best speaker at I Torneo de Debate Vila de Verín (April, 2019) • Top team in speaker points in I Torneo BP CEU (March, 2019) and I Torneo de Debate Vila de Verín (April, 2019)Participation in international debate competitions: • Speaker at the Spanish World University Debate Championahip in Chile (July, 2018) and Peru (July, 2019) • Speaker at The Oxford InterVarsity (November, 2018) • Speaker at Paris Open (February, 2019) Show less

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  Universidad Complutense de Madrid

  2016 - 2021

  Bachelor of Science - BS Applied Mathematics

  • Machine Learning thesis: "Solving non-linear Partial Differential Equations using Deep Learning" - Implemented a Machine Learning method to solve high-dimensional parabolic PDEs. - Reformulated PDEs using Backward Stochastic Differential Equations and approximated the unknown gradient with Deep Neural Networks. • Physics thesis: “Analysis of Astrophysical Data using Bayesian Statistics” - Designed a method to compute the posterior probability distribution of a variable for… Show more • Machine Learning thesis: "Solving non-linear Partial Differential Equations using Deep Learning" - Implemented a Machine Learning method to solve high-dimensional parabolic PDEs. - Reformulated PDEs using Backward Stochastic Differential Equations and approximated the unknown gradient with Deep Neural Networks. • Physics thesis: “Analysis of Astrophysical Data using Bayesian Statistics” - Designed a method to compute the posterior probability distribution of a variable for which only an upper bound can be observed. - Invented a new posterior probability distribution to analyze several features jointly, , producing posterior distributions that are less affected by outliers. - Found robust probability distributions for the masses of 25 black holes, for which previously only an upper bound was known, by combining knowledge in Bayesian Statistics, Physics and Markov Chain Monte Carlo.• Excellence Scholarship of Comunidad de Madrid (2016-2017, 2017-2018 and 2018-2019) Show less

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  Carnegie Mellon University

  2023 - 2024

  Master of Science - MS Machine Learning

  - Courses: Advanced Introduction to Machine Learning, Intermediate Statistics, Deep Learning Systems Implementation

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  UCLA

  2019 - 2020

  Bachelor of Science - BS Mathematics and Physics 4/4

  Fully funded exchange program• Physics courses in General Relativity and Gravitation, Particle Physics, Quantum Mechanics and Nuclear Physics• Mathematics courses in Algorithms, Numerical Analysis, Optimization and Galois Theory• Graduate mathematics course in Differential Topology