Francesco Naccarato
Data Scientist
Brussels, Belgium
Summary
👤
Senior🎓
Top SchoolFrancesco Naccarato is a data scientist and computational physicist with nine years of experience applying materials informatics, high-throughput simulations, and Python-driven data engineering to accelerate materials discovery for optical and energy applications. He blends deep domain expertise in electronic and optical properties with practical skills in workflow automation, database infrastructure, and ML model development, having transitioned research prototypes into industry-facing solutions at Citrine and Saint-Gobain. Comfortable communicating technical ideas to diverse stakeholders, he has led workshops, customer-facing PoCs, and technical trainings that bridge academia and product teams. Notably, his background in developing open-source ab-initio tools and plugins that integrate materials repositories demonstrates a rare combination of hands-on scientific software development and production-ready data science. Based in Brussels, he is actively shifting his postdoctoral research focus toward machine learning to scale materials screening and enable data-driven product innovation.
9 years of coding experience
5 years of employment as a software developer
Bachelor degree Physics, Bachelor degree Physics at Università della CalabriaDoctor of Philosophy - PhD Engineering Science, Doctor of Philosophy - PhD Engineering Science at Université catholique de LouvainDoctor of Philosophy - PhD Condensed Matter and Materials Physics, Doctor of Philosophy - PhD Condensed Matter and Materials Physics at University of LuxembourgMaster degree Condensed matter physics, Master degree Condensed matter physics at Università degli Studi di Trieste
English, French, German, Italian, Spanish
Github Skills (7)
materials-informatics9
physics9
science9
density-functional-theory9
python8
data-analysis5
data-science1
Programming languages (1)
Github contributions (5)
fnaccarato/abiconfig
Jul 2018 - Nov 2020
Contributions:4 pushes in 2 years 4 months
fnaccarato/modnet
Nov 2020 - Mar 2021
MODNet: a framework for machine learning materials properties
Contributions:3 pushes, 1 branch in 3 months
deep-learningmodnetpropertiesmachine-learninglearning-materials
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