Troy Arcomano is a postdoctoral fellow at Argonne National Lab working on machine learning applications for weather and climate in the EVS division. During his time at ANL, he was the Argonne lead for several projects including a large collaboration to create a state-of-the-art foundation model for weather prediction. Troy received his PhD at Texas A&M University where he worked on developing machine learning applications for weather forecasting and investigated how machine learning could be used to improve climate models.