Pablo Guarda is currently a PhD candidate in Advanced Infrastructure Systems (AIS) under the supervision of Prof. Sean Qian in the Department of Civil and Environmental Engineering (CEE) at Carnegie Mellon University (CMU). He is also pursuing a M.S in Machine Learning in the School of Computer Science (SCS) at CMU. To contribute to the research efforts of his colleagues at the Mobility Data Analytics Center (MAC), Pablo aims at enhancing traditional transportation network models by leveraging existing behavioral theories to depict travellers' decision-making at the micro level together with machine learning techniques to facilitate the analysis of high dimensional data at the network level. In his view, collaboration among transportation, behavioral and computer scientists will be key to achieve this goal.During 2016 Pablo worked for 5 months as a Transport Research Intern at the Ross Center for Sustainable Cities at the World Resources Institute (WRI) in Washington DC. At WRI, he conducted research and data analysis as part of a project with the IDB and the Global Environment Facility (GEF) to promote low carbon technology transfer in Latin America and the Caribbean. He also collaborated with the BRT-CoE in a project aimed at rethinking the next generation of BRT in China. As part of this project, Pablo and researchers from WRI and the China Urban Sustainable Transport Research Center (CUSTReC) coauthored the article Comparing Chinese and Non-Chinese Bus Rapid Transit: Evidence from Evaluation of Global BRT Based on BRT Design Indicators published in the journal Transportation Research Record. This article was also an input for a policy paper led by researchers from WRI where Pablo is co-author. After finishing his internship, he worked as a external consultant for WRI on a report exploring the relationships between design elements and operational performance in BRTs.
Pablo completed a B.S. in Civil Engineering, a minor in Social Psychology and a M.S. in Transportation Engineering at Pontifical Catholic University of Chile (PUC) in 2015. In 2017, he graduated with a M.S. in Cognitive and Decision Sciences from University College London (UCL).
During the first semester of 2018, Pablo worked as a research assistant for the Bus Rapid Transit Centre of Excellence (BRT-CoE) to extend the research conducted during his MSc at UCL. Back in 2014, Pablo had been a research assistant at the Bus Rapid Transit Centre of Excellence (BRT-CoE) and at the office of CEDEUS in Santiago, Chile. At CEDEUS, he conducted research on fare evasion in public transport and presented this work in various international conferences. During this period, Pablo was the recipient of the Michael Beesley Award for his article Decreasing fare evasion without fines? A microeconomic analysis, which was later published in the journal Research in Transportation Economics. As a result of his master's thesis work, he previously published the article What is behind fare evasion in urban bus systems? An econometric approach in Transport Research Part A: Policy and Practice. Pablo has been always interested in the policy implications of his research on fare evasion and thus, he has been actively collaborating in public events and academic workshops held in Santiago, Chile.
During his PhD at CMU, Pablo has served as teaching assistant for the courses Data Analytics for Engineered Systems (Fall 2019) and Geographic Information Systems (Fall 2020). Before starting his PhD, he worked for one year as a part-time lecturer in the Department of Civil Engineering (DIC) at the University of Concepcion, Chile where he taught courses on: (1) Optimization, (2) Fundamentals of Transportation Engineering and (3) Transportation Planning. He also coauthored a research paper with colleagues from the Department of Industrial Engineering and Civil Engineering which modelled the relationship between food purchase habits and mobility patterns in Concepcion, Chile through a state-of-the-art econometric framework and that is currently under review. In addition, he worked as a external consultant for the Inter-American Development Bank (IDB) to develop a predictive tool of fare evasion in public transport.