David McClosky

David McClosky is an experienced Applied ML Engineer currently at Rhizome, focusing on enhancing climate resilience in the electric utility sector. Previously, David held the position of Staff Data Scientist at QuantAQ, Inc., where model deployment and the creation of open-source tools improved air quality measurement and data support. Advisory contributions were made to biodiversityX on ML strategies for forest carbon estimation. David's tenure at Google spanned several roles, including Senior Software Engineer and Tech Lead Manager within various projects, such as Google Assistant and Voice Search, where significant improvements in machine learning models were achieved. Earlier experiences include research roles at IBM and Stanford University, with a Ph.D. in Computer Science from Brown University.