RC

Stay hungry, stay foolish. 

– Steve Jobs

BIOGRAPHY

I'm Riccardo Ceccaroni, a Ph.D. researcher in Data Science at Sapienza University of Rome, where I explore the intersection of mathematics, machine learning, and high-performance computing. My academic path began with a B.Sc. in Mathematics from Tor Vergata University, followed by an M.Sc. in Data Science at Sapienza, where I developed a passion for topological data analysis and its applications in computer vision.

My current research focuses on persistent homology, image segmentation and denoising, and the development of distributed algorithms for large-scale data analysis.

Beyond academia, I enjoy playing the piano and guitar.

RiccardoCeccaroni
+

Programming Languages

+

ML Libraries Used

+

Big Data Systems

Skills

PythonRC/C++SQLHTMLLaTeXMatlabMPI/OpenMPINumPyPandasSciPyScikit-learnTensorFlowPyTorchMatplotlibMySQLPostgreSQLMongoDBNeo4jHadoopSparkDockerREDCap

Experience

  • Data Collection Specialist @GStep – Policlinico Universitario A. Gemelli

    2022 – 2023 | Rome, Italy

    Collected and managed clinical data using REDCap and supported the integration of data processing pipelines for hospital-based research. Collaborated with interdisciplinary teams to ensure data quality and reliability.

  • Participant – Summer School @ESSAI & ACAI

    2023 | Ljubljana, Slovenia

    Attended Europe's first summer school in artificial intelligence. Focused on foundational AI methods, learning theory, and statistical learning frameworks.

  • Teaching Assistant @Sapienza University

    2024 | Rome, Italy

    Assisted in the course 'Istituzioni di Matematica, Filosofia e Intelligenza Artificiale', helping students with mathematical foundations relevant to AI.

  • Participant – Summer School @Deep Learning and Computer Vision

    2024 | Genova, Italy

    Explored cutting-edge developments in computer vision and deep learning, including generative models, transformers, and representation learning through lectures and labs.

  • Visiting Researcher @MIA Lab, La Rochelle Université

    2025 | La Rochelle, France

    Collaborated as a visiting PhD researcher on topics related to artificial intelligence and computer vision.

  • Participant – Summer School @International HPC Summer School

    2025 | Napoli, Italy

    Engaged in advanced training on high-performance computing (HPC), covering parallel programming, performance optimization, AI workflows, and interdisciplinary applications through lectures, hands-on sessions, and collaborative projects.

Education

  • Bachelor of Science in Mathematics

    2015 – 2019 | Tor Vergata University of Rome

    Completed a thesis titled 'Metodi di simulazione in statistica.' Developed a strong foundation in probability theory, linear algebra, and mathematical modeling.

  • Master of Science in Data Science

    2020 – 2022 | Sapienza University of Rome

    Graduated with a thesis on 'Topological Persistence for Astronomical Image Segmentation.' Specialized in machine learning, statistical modeling, and scientific data analysis.

  • Ph.D. in Data Science

    2023 – Present | Sapienza University of Rome

    Ongoing doctoral research in persistent homology, image segmentation, and distributed computing. Focused on topological approaches to computer vision and large-scale scientific data processing.