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Gabriele Giacometti

@gabrielegiacometti

Junior Data/AI Engineer finishing a PhD in Theoretical Physics, passionate about applying ML to real-world problems. Open to full-time remote roles.

Italy

Message

What I'm looking for

I’m looking for roles in data science, quantitative analysis, and applied research, where I can apply numerical analysis, computational modeling, and machine learning to solve complex non-linear problems and deliver scalable, data-driven outcomes.

I'm wrapping up my PhD in Theoretical Physics and making the leap into Data/AI. During my doctorate I got hands-on with machine learning — building projects with scikit-learn and PyTorch — and I love the challenge of turning complex problems into working models. My physics background gives me a strong edge in math, stats, and structured problem-solving. Looking for a remote team where I can keep learning fast and contribute from day one.

Experience

Work history, roles, and key accomplishments

Current

PhD Candidate in Physics

Current

Università degli Studi di Catania

Jan 2023 - Present (3 years 3 months)

Developed mathematical models for complex systems and implemented numerical simulations in Python. Performed analytical calculations with Mathematica and collaborated with international research teams.

Mathematical Modeling Python Mathematica SQL Data Analysis Scientific Computing

Vice President, EPS Young Minds

European Physical Society (EPS) Young Minds

Jan 2018 - Jan 2019 (1 year)

Coordinated and supported organizational activities for the EPS Young Minds Catania section, including planning and execution of physics-related events. Led initiatives, managed budgeting, and contributed to strategic decision-making for local activities.

Event Coordination Leadership Budget Management Stakeholder Management Strategic Planning Communication Teamwork

Research Intern

National Centre for Nuclear Research (NCBJ)

Jan 2025 - Present (1 year 3 months)

Solved complex non-linear problems using analytical and algorithmic approaches. Built models with NumPy, Pandas, SciPy, scikit-learn, and PyTorch, authored a scientific publication, and communicated technical results with an international team.

NumPy Pandas Scipy scikit learn PyTorch TensorFlow Scientific Writing

Education

Degrees, certifications, and relevant coursework

Università degli Studi di Catania

PhD, Theoretical Physics

2023 -

PhD candidate in Theoretical Physics. Conducts research in theoretical physics using advanced analytical and computational approaches.

Università degli Studi di Catania

Master’s Degree in Physics, Physics

2019 - 2023

Grade: 108 / 110

Master’s Degree in Physics with a thesis on the Functional RG approach to quantum mechanics double well Yang-Mills theories. Final degree mark: 108 / 110.

Università degli Studi di Catania

Bachelor’s Degree in Physics, Physics

2015 - 2019

Grade: 96 / 110

Bachelor’s Degree in Physics with a thesis on spontaneous breaking and the tensor energy–impulse of the electromagnetic field for conformally reduced quantum gravity. Final degree mark: 96 / 110.