Simone Amoroso-Head of Technology & CISO
Check rate
Experience
Head of Technology & CISO
AI Quality and Testing Hub
- Lead developer of Prof. Valmed, the first LLM-powered medical device (utilising RAG on a medical corpus of 2.5M+ documents) to receive a CE certification.
- Designed and implemented cloud-native MLOps infrastructure for ENBW’s energy trading analytics division, enabling scalable deployment and monitoring of predictive models.
- Architected end-to-end testing and validation frameworks for AI/ML systems, ensuring quality, compliance, and robustness in critical and regulated applications.
- Conducted professional training on AI testing, EU regulatory frameworks, and quality assurance for production AI systems.
Staff Scientist in the CMS experiment and Lecturer at Uni. Wuppertal
DESY (Deutsches Elektronen-Synchrotron)
- Led a 50 people group in the development of ten python data analyses for peer-reviewed publications using a variety of statistical (classification, regression, hypothesis testing) and machine learning (BDT, Random Forest, DNN) techniques.
- Introduced and optimised Deep Neural Network machine learning algorithms in tensorflow to reweight Monte Carlo simulation parameters, reducing by up to a factor of five the need for (expensive) simulated events in the collaboration.
- Trained generative AI models in pytorch to accurately reproduce expensive Monte Carlo simulations.
- Spearheaded the development of the xFitter open-source C++ code for non-linear regression analyses.
- Lecturer in particle physics and data analysis at university courses and physics schools.
- Mentored and supervised over 20 students (from B.Sc. to PostDoc) in data analysis projects.
Senior Research Fellow in the ATLAS experiment
DESY (Deutsches Elektronen-Synchrotron)
- Lead a statistical combination of W-boson mass measurements for which I developed a python tool to study uncertainty models and correlations.
- Head of the Physics Modeling Group, liaised between data analysis teams and upper management for the optimal and efficient distribution of computing cloud and HPC resources (∼300K CPU cores).
- Defined the long-term computing strategy of the experiment (CPU and GPU needs).
- Steered the 150-member strong team to commission, validate, and bring to production novel theoretical models and Monte Carlo simulation.
Senior Research Fellow in the ATLAS experiment
CERN (European Organization for Nuclear Research)
- Head of a 4 people strong team which I steered to timely complete two data analysis publications using python and C++.
- Improved the efficiency of the real-time C++ data selection algorithms of the ATLAS experiment leading to a 30% performance enhancement.
- Optimised theoretical model parameters through a linear regression analyses optimising 100 parameters using over 50 input datasets (over 10000 measurements) and documented the results in several peer-reviewed publications.
Dr.Rer.Nat. (Ph.D.) in Physics working in the ATLAS experiment
Albert-Ludwigs Universität Freiburg
- Developed a novel model-independent global search, an unsupervised approach to classify and simultaneously analyse all high-energy events produced by the Large Hadron Collider (105 regions in over 700 distributions) to test for possible deviations from the theoretical models.
- Developed Professor, a python program for hyperparameter tuning of problems with expensive to evaluate objective functions, extended the code to deal with systematic uncertainties and correlations, and implemented a Support Vector Regressor for parameter optimisation.
Industry experience
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Experienced in Education, Energy, Healthcare, and Information Technology.
Business area experience
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Experienced in Research and Development, Information Technology, Business Intelligence, and Quality Assurance.
Summary
Physics Ph.D. with a decade of hands-on experience in data science, AI, and scientific computing. I’ve worked on everything from statistical modeling and simulation to machine learning and large-scale data processing across high-stakes, large-scale settings; from the big particle detectors at CERN to critical applications in healthcare and the energy sector. I’ve taken on both technical leadership and deeply hands-on roles, with end-to-end experience from early design and prototyping to implementation and large-scale production deployment. I thrive working on hard problems in fast-paced environments, especially when the stakes are high and the work demands both focus and creativity.
Skills
- Programming: Python (Numpy, Scipy, Pandas, Matplotlib), C++, Sql, Fortran, Bash
- Machine Learning: Pytorch, Tensorflow, Keras, Pymc, Scikit-Learn, Langchain
- Applications: Ms Office, Ms Excel/Vba, Ms Power Bi
- Tools: Aws/Azure, Github/Gitlab, Cmake, Jupyter, Jira, Docker
- Soft Skills: Problem Solving, Project Management, Strategic Thinking, Communication
Languages
Education
Albert-Ludwigs Universität Freiburg
Dr.rer.nat. in Physics, working in the ATLAS experiment · Physics · Freiburg im Breisgau, Germany
University of Rome Tor Vergata
M.Sc. in Physics · Physics · Rome, Italy · 110/110 cum laude
University of Rome Tor Vergata
B.Sc. in Physics · Physics · Rome, Italy · 110/110 cum laude
Certifications & licenses
CE certification
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Simone is based in Hamburg, Germany.
Simone speaks the following languages: Italian (Native), English (Advanced), French (Intermediate), Russian (Intermediate).
Simone has at least 16 years of experience. During this time, Simone has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 3 years and 2 months. Note that Simone may not have shared all experience and actually has more experience.
Based on recent experience, Simone would be well-suited for roles such as: Head of Technology & CISO, Staff Scientist in the CMS experiment and Lecturer at Uni. Wuppertal, Senior Research Fellow in the ATLAS experiment.
Simone's most recent position is Head of Technology & CISO at AI Quality and Testing Hub.
In recent years, Simone has worked for AI Quality and Testing Hub and DESY (Deutsches Elektronen-Synchrotron).
Simone is most experienced in industries like Education, Energy, and Healthcare. Simone also has some experience in Information Technology.
Simone is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence. Simone also has some experience in Quality Assurance.
Simone has recently worked in industries like Education, Energy, and Healthcare.
Simone has recently worked in business areas like Research and Development, Information Technology, and Business Intelligence.
Simone holds a Doctorate in Physics from Albert-Ludwigs Universität Freiburg, a Master in Physics from University of Rome Tor Vergata and a Bachelor in Physics from University of Rome Tor Vergata.
Simone has 1 certificate: CE certification.
The availability of Simone needs to be confirmed.
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