cv

Here you can find my CV.

General Information

Full Name Roberto Neglia
Position PhD Fellow, Department of Mathematics and Statistics
Institution UiT – The Arctic University of Norway, Tromsø, Norway

Research Interests

  • Machine learning for graphs and time series; uncertainty quantification for time series forecasting with conformal prediction; scalable spatiotemporal models.

Education

  • Nov. 2024–present

    Tromsø, Norway

    PhD in Mathematics and Statistics (in progress)
    UiT – The Arctic University of Norway
    • Supervisor: Filippo Maria Bianchi.
    • Northernmost Graph Machine Learning Group.
  • 2022–2024

    Milan, Italy

    MSc in High Performance Computing Engineering
    Politecnico di Milano
    • 110/110, cum laude; GPA: 28.87/30.
    • Completed through the EUMaster4HPC double-degree programme.
  • 2022–2024

    Lugano, Switzerland

    MSc in Computational Science
    Università della Svizzera italiana (USI)
    • Summa cum laude; GPA: 9.13/10.
    • Completed through the EUMaster4HPC double-degree programme.
  • 2018–2022

    Milan, Italy

    BSc in Computer Science and Engineering
    Politecnico di Milano
    • 103/110.

Research Affiliations and Visits

  • 2025–present
    Research Affiliate
    Integreat
    • Norwegian Centre for Knowledge-driven Machine Learning.
  • Feb.–Mar. 2026

    Mumbai, India

    Visiting Researcher
    IIT Bombay
    • Six-week research visit collaborating with Abir De.
  • Nov. 2024–Feb. 2025

    Lugano, Switzerland

    Visiting Researcher
    USI
    • Graph Machine Learning Group.

Publications

Academic Service

  • 2026–present
    Conference Reviewer
    • NeurIPS 2026; AIMLsystems 2026; NLDL 2027; ICLR 2027.
  • Feb. 2026

    Tromsø, Norway

    Coordinator, Learning on Graphs Local Meetup
    UiT
    • Third edition; February 17–18, 2026.
  • Aug. 2025–present
    INTREF Representative
    Integreat
    • One of two Tromsø representatives in Integreat's young researchers' forum.
  • 2023–2024
    HPC Community Engagement
    • Student volunteer, PASC24, Zurich (June 2024).
    • Birds of a Feather speaker, ISC High Performance, Hamburg (May 2024).
    • EUMaster4HPC Ambassador, EuroHPC Summit, Gothenburg (March 2023).

Selected Posters and Presentations

  • July–Aug. 2026

    Cetinje, Montenegro

    Poster Presentation, EEML Summer School
    Eastern European Machine Learning Summer School
    • School acceptance rate: approximately 7%.
  • July 2026

    Luxembourg

    Invited Speaker, EUMaster4HPC Summer School
    University of Luxembourg
    • Success Stories session.
    • Shared experience in the HPC community and as a PhD student.
  • Dec. 2025

    Copenhagen, Denmark

    Reservoir Conformal Prediction for Time Series
    • Poster, ELLIS UnConference Workshop on Energy-Efficient AI, EurIPS 2025.
  • 2024

    Copenhagen, Denmark

    Graph Deep Learning for Cancer Drug Response Prediction and Generation
    • Poster, Generative AI in Life Science Workshop (GenLife).
  • 2023
    Accelerating Jacobi Solver for the 2D Poisson Equation
    • Poster, EuroHPC Summit, Gothenburg, Sweden; and HPC for Environmental Aspects Summer School, Grenoble, France.

Industry Experience

  • Nov. 2021–Mar. 2022

    Milan, Italy

    Full-Stack Software Engineering Intern
    Deloitte Digital
    • Full-time software development for clients in the energy and oil & gas sector.

Honours, Scholarships and Mentoring

  • 2023–present
    Selected Mentee
    LeadTheFuture mentorship programme
  • 2022–2024
    EUMaster4HPC Merit-Based Mobility Scholarship
  • 2018–2020
    Merit-Based Tuition Reduction
    Politecnico di Milano
  • 2018–2019
    “Best Freshmen” Award
    Politecnico di Milano

Technical Skills

Programming Python, C/C++, CUDA, R, Bash.
Machine Learning PyTorch, PyTorch Geometric, TensorFlow, scikit-learn.
Scientific Computing and Tools NumPy, SciPy, pandas, Linux, Slurm/Torque, Git, Docker, LaTeX.