Todd Hay
Program Manager
Todd Hay is a program manager in the Pacific Northwest National Laboratory (PNNL) National Security Directorate with more than 25 years of experience leading large-scale national security programs. He currently leads several climate and energy projects supporting the Department of Defense. Previously at PNNL he held multiple line management roles with increasing responsibilities resulting in an acting division director role, leading 530 staff in data engineering, artificial intelligence, cybersecurity, and human-centered computing. Prior to PNNL, Hay was an active-duty Air Force intelligence officer, a principal information systems engineer at The MITRE Corporation, and a data program manager at the National Oceanic and Atmospheric Administration. He holds a PhD in cognitive and neural systems from Boston University, a master of science in geographic information science from the University of London, and a bachelor of science in mathematics from the Massachusetts Institute of Technology.
Nathan Tallent
Principal Investigator - Science Use Case
Nathan Tallent is a senior computer scientist and lead of the Scalable Computing and Data team at PNNL. His research spans the challenges of characterizing, modeling, analyzing, and accelerating the performance of current and emerging workloads in scientific workflows, data analytics, and domain modeling. He has more than 50 peer-reviewed publications, serves on several reviewing committees, and is a recipient of a Department of Energy Early Career award. He was an original developer of HPCToolkit, a widely used suite of performance tools. He received a PhD in 2010, from Rice University and is a member of IEEE and the Association for Computing Machinery.
Chris Cacciatore
Principal Investigator – Security Use Case
Christopher Cacciatore is a software engineer in the Software Engineering and Architectures group in the National Security Directorate at PNNL. He primarily works in the DevOps, MLOps, and data engineering spaces. He uses these skillsets to operationalize and scale machine learning solutions in the cloud for national security sponsors. Prior to joining PNNL in 2021, he worked for Amazon Web Services, supporting data warehousing and data streaming efforts for internal and external users of Amazon Web Services. He has a MS in geosciences from the University of Texas at Austin and was a National Science Foundation Graduate Research Fellow, where he built computational models to understand paleoclimates and associated carbon cycling.