Bruno Gonçalves

Bruno Gonçalves is the founder at Data For Science, where he consults and teaches on building reliable machine learning and LLM systems. Trained as a physicist, with a PhD in the Physics of Complex Systems (2008), he spent more than a decade using large-scale data from Twitter, Wikipedia, mobile phones and web logs to study how people communicate, move, and spread information and disease, at Indiana University, Northeastern University, Aix-Marseille Université and NYU’s Center for Data Science. He then worked as VP of Data Science & Finance at JPMorgan Chase and as a research data scientist at TRM Labs. His research has been cited more than 17,000 times.

Research

• Network Science

  Time-varying networks, information diffusion and collective attention in online social systems.

• Epidemic Modeling

  GLEaM and data-driven models of how diseases spread along global mobility networks.

• Computational Linguistics

  Dialect geography, language change and the global language network, from Twitter and Google Books.

• Political Communication

  Polarization, astroturf detection and political abuse on Twitter: the Truthy project and OSoMe.

• Human Mobility

  City influence, segregation and integration, urban rhythms and the statistics of human travel.

• Web Science

  How people actually browse the Web, and why the PageRank random surfer gets it wrong.

• Statistical Physics

  Hanoi networks, anomalous diffusion, spin glasses and hysteretic optimization.

Featured Pages