Statistics and machine learning for graphs, traffic and health.

I'm Francesco, a PhD student in Methodological Statistics at Sapienza University of Rome, working on machine learning for graphs and bioinformatics.

Portrait of Francesco Cellitti
Hiking along a rocky mountain ridge under a clear blue sky

About

I work where statistics meets machine learning: geometric deep learning on graphs, with applications to bioinformatics, traffic and environmental health.

I had the opportunity to study statistical methods in such different contexts, due to the double degree program between Sapienza and ENSAI. Starting from that experience I understood how to apply statistical techniques to real world problems.

Today my research moves between machine learning applied to biology, spatial and environmental health. We'll see what I can do!

Swimming and hiking in the mountains during free time, suffering through football matches :(

Teaching and training

  • Assistant, Statistics for Big Data, Roma Tre (2026)
  • OxML 2026 summer school, MLx Health & Bio, Oxford
  • CCAI Virtual Summer School 2026

Tools

  • Python
  • R
  • MySQL
  • Spark
  • Azure
  • MongoDB
  • Matlab
  • SPSS

Selected work

Background

  1. Nov 2025 - now

    PhD, Methodological Statistics

    Sapienza University of Rome, Italian National Institute of Health (ISS)

  2. Apr 2024 - Nov 2025

    Data Scientist, BIP

    Rome. Machine learning for traffic flow and generative AI solutions on Azure.

  3. 2022 - 2024

    Double MSc, Sapienza and ENSAI

    Statistical Methods and Applications (110/110 with honors) and Smart Data Science. Thesis on traffic forecasting on the A90 highway.

  4. Nov 2022 - May 2023

    Statistician Intern, Analisi-Statistiche.it

    Rome. Medical research projects in R and SPSS, and teaching applied statistics.

  5. 2019 - 2022

    BSc, Statistica Gestionale

    Sapienza University of Rome (108/110). Thesis on food insecurity during COVID-19.

Let's talk.

francesco.cellitti@uniroma1.it