Stefano Polloni is a Data Scientist at Mapdwell, a data intelligence startup that builds tools for energy decision-making. His past research projects have focused on public housing in developing countries and the disamenity of traffic congestion. At Mapdwell, He builds data pipelines for building energy calibration, and develops predictive models using LiDAR point clouds and satellite imagery. He received his PhD from Brown University in 2019.