About
Computational physicist and R&D scientist with a PhD in Physics and 10+ years of experience applying numerical modeling, FEM/CFD simulations, and machine learning to complex real-world problems. I specialize in turning physics-based models into robust, efficient, and well-documented computational solutions.
My work spans heat transfer and thermal systems, multiphysics simulations (Ansys, COMSOL), and AI-accelerated modeling, including Physics-Informed Machine Learning and surrogate models to reduce simulation time without sacrificing physical accuracy. I also develop custom Python-based tools and software interfaces that automate and extend commercial solvers.
I am highly comfortable working at the intersection of science, engineering, and software, and I place strong emphasis on clear communication, documentation, and reproducible workflows. Whether you need advanced simulations, data-driven modeling, or technical content that bridges theory and implementation, I deliver precise, reliable results.
Core skills:
FEM/CFD · Ansys · COMSOL · Python · Machine Learning · Physics-Informed ML · Heat Transfer · Scientific Computing · Technical Documentation
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Experience
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R&D Scientist
FVMat · Full-time
May 2023 –
Present
2 yrs 7 mos
Israel
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Post doctoral researcher
Tel Aviv University · Full-time
Nov 2018 –
Nov 2022
4 yrs
Israel
Education
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Sapienza - University of Rome
Ph. D., Physics
2015 – 2018
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L'Aquila University
M. Sc., Physics, 110/110 cum laude
2012 – 2014
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L'Aquila University
B. Sc., Physics, 110/110 cum laude
2006 – 2010