Civil Engineer from Universidad de los Andes, with a Master’s degree (with distinction) in Transportation Systems Engineering from the National Autonomous University of Mexico. He has extensive experience in applied research aimed at promoting more sustainable modes of transportation and assessing vehicular emissions of both air pollutants and greenhouse gases through the use of machine learning algorithms and specialized transport modeling techniques.
His work is focused on evaluating the main sustainability challenges in urban transportation systems in emerging countries by applying data-driven modeling and simulation techniques based on real-world datasets. He provides valuable insights to support decision-making for public and private stakeholders, contributing to the design and implementation of more holistic urban public policies that foster sustainable transport systems.