Education & Professional Experience

Gabriel has studied at in Physics between 2005 and 2009, then at in Physics, Mathematics between 1998 and 2002.

Gabriel worked for Credibility Coalition as Chair, Economics of Misinformation Working Group between Jan 2021 and Oct 2021, for Kensho Technologies as Machine Learning Engineer (R&D Team) between Jul 2017 and Jul 2021, for Aledade, Inc. as Sr. Software Developer / Data Scientist between Aug 2016 and Jun 2017, for Narrative Science as Software Engineer (Data Team) between Oct 2014 and Jul 2016, for Georgia Institute of Technology as Postdoctoral Researcher, Center for Relativistic Astrophysics between Oct 2012 and Oct 2014, for Durham University as Postdoctoral Researcher, Institute for Computational Cosmology between Nov 2009 and Oct 2012.

 Skills & Competences

Gabriel has the following skills : Physics, numerical methods, Numerical Analysis, Machine Learning, Python, Statistics, Algorithms, Simulations, Distributed Systems, Agile Methodologies, Research, Programming, Analysis, Data Analysis, Science, Simulation, Deep Learning, Artificial Intelligence (AI), Mathematics, Mathematical Modeling.

Gabriel has earned the following certifications : Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, delivered by Coursera; Machine Learning, delivered by Coursera Course Certificates; Deep Learning Specialization, delivered by Coursera; Neural Networks and Deep Learning, delivered by Coursera; Structuring Machine Learning Projects, delivered by Coursera; Fundamentals of Reinforcement Learning, delivered by Coursera; Sequence Models, delivered by Coursera; Convolutional Neural Networks, delivered by Coursera.