As an Applied Scientist at Fujitsu Research, I develop advanced traffic simulation and optimization technologies to enhance the Fujitsu Social Digital Twin (SDT) platform. My core projects leverage machine learning, computer vision and satellite imagery to enhance large-scale, data-driven traffic simulators. Aditionally, I lead a team of data scientists to productionize and extend the traffic simulation technology developed during my PhD in Transportation Engineering at Carnegie Mellon University (CMU).

My academic background is highly interdisciplinary. In addition to my PhD, 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). I also earned a B.S. in Industrial Engineering, a minor in Social Psychology, and an M.S. in Transportation Engineering from Pontifical Catholic University of Chile (PUC). I continuously seek to expand and leverage my skill set on problems at the intersection of machine learning, optimization, human behavior, and transportation.