Announcing the CARTO Scientific Committee

Principal Scientist at Microsoft “AI for Earth”  building the “Planetary Computer”. Bruno has led Big Data innovation at the World Bank Innovation Labs  served as VP Social Impact at the satellite company Satellogic and Chief Scientist at Mapbox. Bruno has published the book “Impact Science” on the role of science and research for social and environmental Impact. He was awarded Mirzayan Science Policy Fellow of the US National Academies of Science and a Young Global Leader of the World Economic Forum.

Giulia Carella is a researcher at the Barcelona Supercomputing Center.  She holds a PhD in applied statistics in climate from the University of Southampton (UK)  and previously worked as a Data Scientist at CARTO. Before joining CARTO she worked as a researcher at Le Laboratoire des Sciences du Climat et de l’Environnement LSCE  (France) and at the National Oceanography Centre (UK). She has an expertise in the development and application of statistics and machine learning methods for spatial and spatio-temporal problems  with applications ranging from climate science to spatial demography.

Esteban Moro is a researcher  data scientist and professor at MIT Institute for Data  Systems  and Society (IDSS) (visiting) and Universidad Carlos III (UC3M) in Spain (tenured). He was previously a researcher at the University of Oxford. He is an affiliate faculty at Joint Institute UC3M-Santander on Big Data at UC3M and the Joint Institute of Mathematical Sciences (Spain). He has published extensively throughout his career (more than 100 articles) and has led many projects funded by government agencies and/or private companies.

Alex Singleton is Professor of Geographic Information Science at the University of Liverpool where he established the Geographic Data Science Lab. He is Deputy Director of the ESRC Consumer Data Research Centre (CDRC) and Director of the ESRC Data Analytics & Society CDT. His research is concerned with how the complexities of individual behaviours  attitudes and contexts manifest spatially  and can be represented and understood through a framework of geographic data science.

Julia Koschinsky  Ph.D. is the Executive Director of the Center for Spatial Data Science at the University of Chicago. She is currently working on scientific reasoning and research design for exploratory spatial data analysis to increase the chance of discovering unexpected and explicable results in GeoDa and beyond.