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.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
