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I am a Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I have worked on a wide range of projects from statistical modeling and simulation to machine learning and large-scale data processing in high-stakes environments like CERN and critical applications in healthcare and energy sectors. I thrive in fast-paced environments where the work demands both creativity and focused problem-solving. Over the years, I have taken on both leadership and hands-on technical roles, leading teams and projects from early design and prototyping through implementation to large-scale production deployment. I am passionate about solving hard problems and delivering robust, compliant, and scalable AI and data solutions across scientific and industrial domains.…I am a Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I have worked on a wide range of projects from statistical modeling and simulation to machine learning and large-scale data processing in high-stakes environments like CERN and critical applications in healthcare and energy sectors. I thrive in fast-paced environments where the work demands both creativity and focused problem-solving. Over the years, I have taken on both leadership and hands-on technical roles, leading teams and projects from early design and prototyping through implementation to large-scale production deployment. I am passionate about solving hard problems and delivering robust, compliant, and scalable AI and data solutions across scientific and industrial domains.

Simone Amoroso

AI Engineer, Data Scientist, Project Manager

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I am a Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I have worked on a wide range of projects from statistical modeling and simulation to machine learning and large-scale data processing in high-stakes environments like CERN and critical applications in healthcare and energy sectors. I thrive in fast-paced environments where the work demands both creativity and focused problem-solving. Over the years, I have taken on both leadership and hands-on technical roles, leading teams and projects from early design and prototyping through implementation to large-scale production deployment. I am passionate about solving hard problems and delivering robust, compliant, and scalable AI and data solutions across scientific and industrial domains.…I am a Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I have worked on a wide range of projects from statistical modeling and simulation to machine learning and large-scale data processing in high-stakes environments like CERN and critical applications in healthcare and energy sectors. I thrive in fast-paced environments where the work demands both creativity and focused problem-solving. Over the years, I have taken on both leadership and hands-on technical roles, leading teams and projects from early design and prototyping through implementation to large-scale production deployment. I am passionate about solving hard problems and delivering robust, compliant, and scalable AI and data solutions across scientific and industrial domains.

Available to hire

I am a Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I have worked on a wide range of projects from statistical modeling and simulation to machine learning and large-scale data processing in high-stakes environments like CERN and critical applications in healthcare and energy sectors. I thrive in fast-paced environments where the work demands both creativity and focused problem-solving.

Over the years, I have taken on both leadership and hands-on technical roles, leading teams and projects from early design and prototyping through implementation to large-scale production deployment. I am passionate about solving hard problems and delivering robust, compliant, and scalable AI and data solutions across scientific and industrial domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Italian

Fluent

English

Fluent

French

Intermediate

Russian

Intermediate

Work Experience

Head of Technology & CISO at AI Quality and Testing Hub

January 1, 2024 - Present

Led development of the first CE-certified LLM-powered medical device, Prof. Valmed. Designed cloud-native MLOps infrastructure for ENBW’s energy trading analytics enabling scalable deployment and monitoring of predictive models. Architected testing and validation frameworks for AI/ML systems to ensure compliance and robustness in regulated applications. Delivered professional training on AI testing, EU regulatory frameworks, and quality assurance for production AI systems.

Staff Scientist in the CMS experiment and Lecturer at DESY (Deutsches Elektronen-Synchrotron)

January 1, 2024 - September 5, 2025

Led a 50-person group developing Python data analyses for peer-reviewed publications using advanced statistical and machine learning techniques. Introduced and optimized Deep Neural Network algorithms with TensorFlow for Monte Carlo simulation parameter tuning, reducing simulation needs by a factor of five. Trained generative AI models in PyTorch to reproduce expensive simulations. Spearheaded development of open-source C++ code for non-linear regression. Lectured in particle physics and data analysis courses and mentored over 20 students from B.Sc. to PostDoc level.

Senior Research Fellow at ATLAS experiment

January 1, 2021 - September 5, 2025

Led statistical combination of W-boson mass measurements, developing Python tools for uncertainty and correlation studies. As head of the Physics Modeling Group, managed cloud and HPC computing resources (~300K CPU cores) and defined long-term computing strategies (CPU and GPU). Led a team of 150 to commission, validate, and deploy novel theoretical models and Monte Carlo simulations in production.

Senior Research Fellow at ATLAS experiment

January 1, 2018 - September 5, 2025

Headed a 4-person team completing timely data analysis publications using Python and C++. Improved real-time C++ data selection algorithms resulting in a 30% performance enhancement. Optimized theoretical model parameters through linear regression analyses over 100 parameters using 50+ datasets documenting results in several peer-reviewed publications.

Ph.D. Researcher at Albert-Ludwigs Universität Freiburg

January 1, 2015 - September 5, 2025

Developed a novel model-independent global search method, an unsupervised approach analyzing large numbers of LHC high-energy events for deviations from theoretical models. Created 'Professor', a Python program for hyperparameter tuning with systematic uncertainty handling and support vector regression, underpinning multiple high-impact publications and conference presentations.