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Research Scientist • Network Measurements • Data Science

Andre F. Zanella

I'm a researcher and data scientist working at the intersection of network science, applied machine learning, and societal challenges. I focus on turning large-scale internet and mobile measurements into evidence that helps us better understand how digital systems affect people.

I’m currently a Research Scientist at Telefónica Innovación Digital, where I design data-driven tools for mobile network analysis and decision support. My work helps both internal teams and external stakeholders extract actionable knowledge from operational network data.

Background

I received my PhD in Telematics Engineering from UC3M, and my Masters and Bachelors in Electrical Engineering from UFPR.

Throughout my PhD, I worked as a Research Assistant at IMDEA Networks (quite the cool place, highly recommend) at the Networks Data Science Group, under the supervision of Dr. Marco Fiore.

I was also a part of the Group of Integrated Circuits and Systems (GICS) at UFPR during my Masters and Undergrad, under the supervision of Dr. Eduardo Gonçalves de Lima.

Research Interests

  • Mobile networks
  • Network performance and measurements
  • Applied ML

Let's Connect

If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.

Recent research

See all research
  • Paper Teaser
    Mobile Application Traffic Reveals Multifunctional Use Patterns in Parisian Parks
    André Felipe Zanella, Linus W. Dietz, Sanja Šćepanović, Ke Zhou, Zbigniew Smoreda, Daniele Quercia
    Paper
    In
    Nature Scientific Reports (under processing)

  • Paper Teaser
    From Hardware to Handovers: Mapping Smartphone Tiers to Mobility Diversity
    André Felipe Zanella, José Suárez-Varela, Andra Lutu, Jesus Omaña Iglesias
    Paper Poster
    In
    IEEE INFOCOM '26 (Poster)

  • Paper Teaser
    Understanding the potential of urban parks to promote well-being
    Paper
    In
    Nature Cities

Latest posts

See all posts
  • From Hardware to Handovers: Mapping Smartphone Tiers to Mobility Diversity
    How hardware heterogeneity connects directly to mobility diversity, and why this matters when we're building distributed mobility models.
  • Characterizing the Mobile Demand Footprint of Large Public Protests
    How large-scale public protests leave a measurable footprint on mobile network traffic — and how aggregated data can reconstruct protest dynamics while preserving privacy.
© 2026 • Andre F. Zanella 👀
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