cv

Here you can download my complete CV.

General Information

Full Name Valerio Guarrasi
E-mail valerio.guarrasi@unicampus.it
Date of Birth 21th April 2025
ORCID 0000-0002-1860-7447
Scopus 57219750978

Education

  • 2019-2023
    PhD in Data Science
    Sapienza University of Rome, Italy
    • Final Mark - Excellent cum laude
    • Thesis - “Multimodal Deep Learning for Medical Imaging”
    • Research Exchange - Department of Radiation Sciences, Umeå University
  • 2017-2019
    Master's Degree in Data Science
    Sapienza University of Rome, Italy
    • Final Mark - 110/110 cum laude - Honors Program
    • Thesis - “Generalized Model for Temporal Motifs”
    • Research Exchange - Department of Computer Science, University of New York, Buffalo
  • 2014-2027
    Bachelor's Degree in Management Engineering
    Sapienza University of Rome, Italy
    • Final Mark - 109/110
  • 2006-2016
    Master's Degree in Piano
    Conservatoire Santa Cecilia, Rome, Italy
  • 2009-2014
    Technological Scientific High School Diploma
    High School V. Colonna, Rome, Italy

Experience

  • 2023 -
    Assistant Professor
    Department of Engineering, Università Campus Bio-Medico di Roma, Italy
    • Field - Computer Science and Computer Engineering (ING-INF/05)
    • Research project - “Future Artificial Intelligence Research (FAIR)”
  • 2023
    PostDoc
    Department of Engineering, Università Campus Bio-Medico di Roma, Italy
    • Field - Computer Science and Computer Engineering (ING-INF/05)
    • Research project - “Artificial intelligence for precision medicine”
  • 2022
    Research Assitant
    Department of Engineering, Università Campus Bio-Medico di Roma, Italy
    • Field - Computer Science and Computer Engineering (ING-INF/05)
  • 2020 - 2022
    Lead Data Scientist
    GenomeUp, Rome, Italy
    • Development of Machine Learning and Deep Learning methods to aid the research for hospitals and medical oriented research groups to solve real-world healthcare problems using medical imaging, genomics, and electronic health records data.
  • 2019 - 2020
    Data Scientist
    IBM, Rome, Italy
    • Development of Machine Learning and Deep Learning methods integrated in the Watson AI products to validate PoCs for new potential clients.

Honors and Awards

  • 2025
    • Recipient of “Computing’s Top 30 Early Career Professionals for 2024”, IEEE Computer Society, 2024
    • Awarded the Seal of Excellence. Project Proposal - 101203747 - IDEA “AI-powered digital twin for next-generation lung cancer care”. Submitted under the HORIZON- MSCA-2024-PF-01-01
  • 2022
    • Winner of the international competition - “Covid CXR Hackathon”, Bracco Imaging, Dubai Expo 2020
  • 2021
    • Winner of the international competition - “AI against COVID-19 - Screening X-ray Images for COVID-19 Infection”, IEEE SIGHT, University of Waterloo
  • 2018
    • Winner of the international competition - “Stats Under the Stars 4 Competition”, Società Italiana Statistica, Findomestic
    • Winner of the university competition - “Quantitative Methods of Economic Analysis and Management”, Sapienza University of Rome