Scott is an atmospheric scientist and head of the Geospatial Computing, Innovations, and Sensing (GCIS) department in the Environmental Science Division at Argonne National Laboratory and a Senior Fellow at the Northwestern Argonne Institute of Science and Engineering (NAISE). Scott’s research is at the intersection of data informatics, atmospheric science, and radar meteorology. He uses and develops open-source tools to extract geophysical insight from remotely sensed data at scale, which enables a deeper understanding of atmospheric phenomena essential for the development of next-generation climate models.

Scott is the inventor of the Python-ARM Radar Toolkit (Py-ART), which is an open-source community-based architecture for interacting with weather radar data. Py-ART has hundreds of users and has achieved downloads in the tens of thousands around the globe.

In 2013, Scott was nominated by his peers and later named one of Popular Science magazine’s ​“Brilliant 10” specifically for his work in open-source software, as part of the magazine’s 13^th annual awards list. He was also recently recognized as the 2019 NAISE Fellow of the Year.

Over the last 10 years, Scott has become an expert in retrievals from scanning weather radars. He is the vice chair of the American Meteorological Society’s (AMS’s) committee on radar meteorology and chaired the AMS Conference on Radar Meteorology in 2017. He has published a wide range of papers and has a diverse background, including research at the Centre for Australian Weather and Climate Research and at the Australian Bureau of Meteorology, National Meteorological and Oceanographic Centre. In addition, Scott acts as a Translator for a set of the Atmospheric Radiation Measurement User Facility’s Radar systems.

Scott holds a PhD in physical sciences from the Australian National University, a bachelor of advanced science from the University of Sydney and a graduate diploma in meteorology from the Australian Bureau of Meteorology’s Teaching Centre.