As a Senior Researcher, I develop cutting-edge technologies to enhance the Fujitsu Social Digital Twin (SDT) platform. My core project leverages computer vision algorithms and satellite imagery to enhance large-scale, data-driven traffic simulators. I also oversee a skilled team of data scientists and software engineers to extend the traffic simulator developed during my PhD in Transportation Engineering at Carnegie Mellon University (CMU).

My academic background is highly interdisciplinary. I have an M.S. in Machine Learning from the CMU School of Computer Science (SCS) and an M.S. in Cognitive and Decision Sciences from University College London (UCL). At Pontifical Catholic University of Chile (PUC), I completed a B.S. in Industrial Engineering, a minor in Social Psychology and a M.S. in Transportation Engineering. I continuously seek to expand my skill set in new areas, especially those at the nexus of machine learning, artificial intelligence, human behavior and transportation.

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