I'm a passionate Physicist with an engineering background now working in data science, data engineering, and data analysis. I previously dedicated my efforts to a research project for my master's thesis at the ALICE experiment at CERN, focusing on the jets framework in Run3.

• 💼 Current Role: Engaged in data science, data engineering, and data analysis, applying my expertise to evaluate model performance predictions and manage financial data.
• 🔬 Previous Research: My master's thesis involved working with the ALICE experiment at CERN, specifically on extracting the strong coupling constant from the Lund Plane with jets in proton-proton collisions. This pioneering application of the Lund Plane to Run3 data was an exciting opportunity to explore potential new discoveries.

Alongside my professional work, I am building Lunar Farming, a small project I am actively developing into a mobile app. The idea was born when I moved to my house in the countryside: I had a piece of land to cultivate, and so I started gardening with zero experience and, learning step by step (and through plenty of mistakes), I realized how relevant Moon phases can be when sowing and planning tasks in the garden. That’s when I decided to combine my passion for gardening, physics, and coding into a single project. As a physicist, I also wanted to build something that computes the lunar phase (instead of just reading it from a website) and turns it into practical, simple guidance.

What Lunar Farming does (currently):

• Computes Moon age, illumination, and the lunar phase name
• Provides month-based gardening tips depending on the Moon phase
• Exposes the data via a small FastAPI JSON endpoint, so it can be consumed by a frontend (which is in progress)

Repo: LunarFarming

• 🌠 Run3 Jets Analysis: As part of my master's thesis, I have actively contributed to O2Physics - the ALICE experiment analysis framework - focusing on the jets framework in Run3. Here are the links to my contributions:

  Track Quality Assurance

  Jet Lund Reclustering

  You can read more about my research results in my Master final thesis.

• ✨ Run2 Azimuthal Correlation Functions: During my CERN Summer School, I conducted research and contributed to the ALICE experiment analysis framework by studying the azimuthal correlation function of prompt D mesons with charged particles in Run2 data. I applied the Von Mises function for data fitting, providing valuable insights into particle behavior and interactions. You can read more about my research results here: Study of the azimuthal correlation function of prompt D mesons with charged particles using the Von Mises function for fitting the data

• Data Analysis
• Data Science
• Coding and Programming
• Physical Engineering
• Research and Development
• Particle Physics

• LinkedIn: Alice Caluisi on LinkedIn

• 📧 Email: alice.caluisi@gmail.com