Dr. Steven Reece

Biography

Steve Reece is the Head of Machine Learning Research Data Science at the Oxford Sustainable Finance Group. His team develops state-of-the-art machine learning methods to map and characterize assets worldwide, focusing on environmental financial risk. Currently, he works on creating asset-level datasets of the world's polluting industries using remote sensing and unstructured text reports. Before joining the Smith School of Enterprise and the Environment in November 2021, Steve was a Departmental Research Fellow in machine learning in the Engineering Science Department at the University of Oxford and also held a Turing Fellowship at the Alan Turing Institute, where he was an EPSRC funded Researcher in Residence at the Satellite Applications Catapult. With 25 years of research and consultancy experience in machine learning and over 70 publications in the field, he has worked on a range of applications including NASA astrophysics data fault correction, multi-robot terrain mapping, social network analysis, and big data economics. Steve has collaborated with disaster response organizations to deploy satellite imagery analysis tools for the UN, FEMA, and NGOs, and he has ongoing collaborations with hydrologists on rainfall-runoff modeling in the UK.

Research Interests