CV

Contact Information

Name Marta Moscati
Email ma.moscati@gmail.com
Website https://mmosc.github.io

Experience

  • 2025 - present
    Applied Scientist (L5)
    Albatross AI
    • Developing effective recommender systems for Albatross AI’s customers
  • 2021 - present
    PhD Researcher
    Johannes Kepler University Linz, Austria
    • Multimodal representation learning for recommender systems
    • Cold-start recommendation scenarios
    • Music information retrieval and emotion-based music recommendation
  • 2024 - 2024
    Research Intern
    Deezer Research Team, Paris, France
    • User modelling from large-scale music streaming data
    • Analysis of user behavior patterns in music consumption
  • 2020 - 2021
    Maths and Physics High-School Teacher
    ESK Karlsruhe, Germany
    • Teaching mathematics and physics to high-school students
  • 2019 - 2020
    Postdoctoral Researcher
    Karlsruhe Institute of Technology (KIT), Germany
    • Research in theoretical particle physics
    • Focus on lepton flavor universality and beyond Standard Model physics

Education

  • 2021 - present
    PhD
    Johannes Kepler University Linz, Austria
    Computer Science
    • Research on multimodal learning and recommender systems
    • Supervising students
    • Contributing to the scientific community as chair (publicity, proceedings), program committee, and reviewer
  • 2016 - 2019
    PhD
    Karlsruhe Institute of Technology (KIT), Germany
    Theoretical Particle Physics
    • Research on new physics models and lepton flavor universality violation

research_interests

  • Multimodal Learning: cross-modal representation learning, audio-visual learning (face-voice association), handling missing modalities in multimodal systems
  • Recommender Systems: cold-start recommendation, music recommendation, sequential recommendation
  • Music Information Retrieval: music emotion recognition, multi-modal music retrieval (audio, lyrics, video), music discovery patterns and user behavior

skills

Programming Languages: Python, PyTorch, TensorFlow
Machine Learning: Deep Learning, Multimodal Learning, Recommender Systems, Graph Neural Networks, Computer Vision
Research: Scientific Writing, Data Analysis, Peer Review, Project Leading
Languages: Italian (native), English (C2), German (C1), French (B2), Chinese Mandarin (A1)

other_interests

Passions: Music, Books, Mathematics, Science
Activities: Sports, Language learning