Glen is an experienced professional who has used data to solve problems in many domain areas. He is currently a data scientist at NYC Data Science Academy, where he has used real-world data to solve problems. Glen worked as a scientist at the National Bioenergy Center, where he made and studied large datasets to improve biofuels and design new batteries. He was also a scientist at Argonne National Laboratory where he studied how data could be used to improve batteries and how to improve commodity chemical production. His work at these institutions resulted in a series of publications in peer-reviewed scientific journals, including invited papers and a presentation at the American Institute of Chemical Engineers National Meeting.