Francesco Di Natale
Senior Deep Learning Performance Architect at NVIDIA
Livermore, California, United States
Summary
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Senior🎓
Top SchoolFrancesco Di Natale is a Senior Deep Learning Performance Architect with eight years of experience making HPC and cloud resources practical and reproducible for computational scientists. He blends formal training in computer architecture and software engineering with hands-on work at NVIDIA and Lawrence Livermore National Laboratory, where he led the open-source Maestro Workflow Conductor used on top supercomputers like Summit and Sierra. Francesco excels at designing lightweight, shareable automation (YAML-driven) for multi-step simulation campaigns, and his background in large-scale simulation and power/performance modeling gives him a rare systems-to-software perspective. A founder of a hobby gaming store, he pairs pragmatic product instincts with research-grade rigor, prioritizing modular, long-lived tools that improve collaboration and documentation across multidisciplinary teams.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, GPA 3.97/4.0, Bachelor of Science (B.S.), Computer Science, GPA 3.97/4.0 at University of South FloridaMaster of Science (M.S.), Computer Science, 3.612/4.0, Master of Science (M.S.), Computer Science, 3.612/4.0 at University of Colorado Boulder
Github Skills (7)
c-language10
cprogramming-language10
data-analysis9
physics9
simulator9
simulations9
simulation9
Programming languages (4)
Github contributions (5)
sPHENIX-Collaboration/coresoftware
Jul 2018 - Jul 2018
Our big core software repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 commits, 5 PRs in 12 days
Contributions summary:Francesco primarily contributed to the core software repository by creating and modifying classes related to cluster isolation energy calculations within the context of an EMCal system. They added features for calculating isolation energy for clusters using various algorithms, with radius and subtraction options, and added properties to store the different calculations. They also addressed code issues, including correcting a calculation in the `getTowerEta()` function and addressing a double declaration issue. Their changes also included the addition of comments.
daily-build
FrancescoVassalli/FTB
Mar 2018 - Jul 2019
Contributions:166 pushes, 6 branches, 1 comment in 1 year 4 months
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