Fernanda received her MSc degree in Sustainable Critical Infrastructure from the Masdar Institute of Science and Technology (MI) in 2017. Her research focused on investigating the Urban Heat Island (UHI) effect using remote sensing and a neural network to derive more accurate near-surface air temperatures. She obtained her BSc from the University of Brasilia (UnB) in Civil Engineering (2015). Since 2018, she has worked as a consultant for DesignBuilder software, a software for building energy efficiency analysis. Prior to that in 2015, she worked in Brazil for a company that provides consultancy in transport engineering. In April 2021, Fernanda joined TUMCREATE to work as a transport and data analyst at the Cooling Singapore project. Her research interests include: transportation, data analysis, energy and machine learning.