Marco De Nadai

Marco De Nadai

Research Scientist


I am a Research Scientist at Spotify, in Copenhagen, Denmark. In Spotify, I focus on research about Personalization, trying to improve the listening experience of millions of customers.

I also work on representation learning, computer vision, unsupervised learning, and human behavioural understanding through multi-modal data. My work includes outfit generation, modelling human mobility and perception, photorealistic object manipulation and animation, video synthesis and image-to-image translation. My work has been published in multiple top conference papers and journals.

Previously, I have been Applied Scientist at Zalando, Germany, and Research Scientist at the Bruno Kessler Foundation (FBK), Italy. I am a PhD graduate from the University of Trento, Italy, where I worked with Bruno Lepri, at the Mobs Lab, and Nicu Sebe at the Multimedia and Human Understanding Group MHUG.

I collaborated with numerous international institutions, including MIT, MIT Media Lab, Nokia Bell Labs, Vodafone Group and Data-pop Alliance. Before joining FBK, I was a research intern at Vodafone, London, UK, and worked with Angelo Cardoso and Nuria Oliver. I also visited the Massachusetts Institute of Technology (MIT) and worked with Marta C. Gonzalez and César Hidalgo.

Download my resumé.

  • Representation Learning
  • Human Behavioural Understanding
  • Computer Vision
  • Generative Networks
  • Artificial Intelligence
  • PhD in Computer Science (cum laude), 2019

    University of Trento

  • MSc in Computer Science (cum laude), 2015

    University of Trento

  • BSc in Computer Science, 2012

    University of Udine

Recent Publications

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(2021). Efficient Training of Visual Transformers with Small-Size Datasets. NeurIPS ‘21.


(2021). Click to Move: Controlling Video Generation with Sparse Motion. ICCV 2021.

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(2021). Smoothing the Latent Style Space for Unsupervised Image-to-Image Translation. CVPR 2021.

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(2021). Living in a pandemic: adaptation of individual mobility and social activity in the US. Preprint.


(2021). The agglomeration and dispersion dichotomy of human settlements on Earth. Preprint.