Andrea Alfonsi

Core Design Methods Manager at NuCube Energy

Idaho Falls, Idaho, United States
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Summary

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Senior
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Top School
Andrea Alfonsi is a nuclear engineering and software leader with nearly a decade of hands-on experience developing and managing core reactor physics tools and risk-analysis frameworks. As Technical Leader and lead developer of PHISICS and RAVEN at Idaho National Laboratory, he has driven the commercialization and applied deployment of simulation software used for reactor core analysis, PRA, and uncertainty quantification. Now serving as Core Design Methods Manager at NuCube Energy after leading nuclear analysis teams in industry, he blends deep reactor-physics expertise with practical software development and project leadership. Andrea holds a PhD from Sapienza University of Rome and has mentored more than a dozen graduate researchers, reflecting a strong commitment to building talent as well as code. An often-overlooked strength is his track record in marrying high-fidelity simulation methods with risk-informed licensing and commercialization pathways.
code9 years of coding experience
job13 years of employment as a software developer
bookUniversity of Rome "La Sapienza"
bookMaster's degree, Energy Engineering - No-conventional energy sources, 110/110 cum laude, Master's degree, Energy Engineering - No-conventional energy sources, 110/110 cum laude at Università degli Studi di Roma 'La Sapienza'
bookBachelor's degree, Energy Engineering, Bachelor's degree, Energy Engineering at Sapienza Università di Roma
languagesEnglish, Italian
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Github Skills (42)

pattern-recognition10
raven10
reduction10
risk-analysis10
data-mining10
uncertainty-quantification10
validation10
hpc-applications10
model-optimization10
probabilistic10
uncertainty10
risk-assessment10
optimization10
serpent9
monte-carlo9

Programming languages (4)

C++CModelicaPython

Github contributions (5)

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aalfonsi/serpent-tools

Aug 2022 - Sep 2022

A suite of parsers designed to make interacting with SERPENT output files simple and flawless
Contributions:1 push, 1 branch in 1 month
pythonserpentparsersparsingparser
idaholab/raven

May 2017 - Jan 2023

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Contributions:175 reviews, 144 commits, 40 PRs in 5 years 8 months
optimization-algorithmsriskdata-miningravenrisk-analysis
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