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Francesco Di Natale is a Computer Scientist in the Applications, Simulations, and Quality division in Lawrence Livermore National Laboratory’s Computing Directorate. His primary research interests include software workflow automation, applying software engineering to HPC, and reproducible simulation science. As a result of his research efforts, Francesco is the author and lead designer for the Maestro Workflow Conductor – a Python tool and library that allows users to specify parameterized multistep workflows and automates its execution. Prior to joining LLNL, he worked for Intel Corporation where he worked as a Performance Architect using simulation to study future processor architectures. Francesco holds dual B.S degrees in both Computer Science and Computer Engineering from the University of South Florida, and an M.S. in Computer Science from the University of Colorado at Boulder.
Machine Learning and Artificial Intelligence
Resource Management and Scheduling
State of the Practice
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