Our research is related to “emergent properties”, i.e., “properties not contained in the simple laws of physics, although they are a consequence of them” (Phil Anderson, 1971, “More is different“).


Our group has openings for graduate students to work on granular matter and complex networks, broadly considered. For an account of the daily routine for students in our lab, see the report of Louis Portal, research intern from France.

Graduate students and postdocs working in our group are expected to be (or become) familiar with the following computing systems.

Projects of Current Students and Postdocs:


Flaviano Morone Complex network theory. Spin glasses. Collective Influence. A model of brain activation predicts the collective influence map of the human brain
Alexandre Bovet Complex network theory. Social networks. Predicting election trends with Twitter: Hillary Clinton versus Donald Trump
Byungjoon Min Complex network theory. Brain analysis. Searching for influencers in big-data complex networks
George Furbish Social media. Influencers. Big data analytics.
Qiongge Li Cancer-affected brain networks.
Kevin Roth Network of networks. Brain network theory. Emergence of Robustness in Network of Networks
Shaojun Luo Big data analytics in social networks. Inferring Personal Finanacial Status from Social Network Location
Lingchen Bu Brain network inference.
Muhua Zheng Percolation in the brain.
Teng Xian Superspreaders. Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Kate Burleson-Lesser Eye-tracking. Critical phenomena and inference. Stock market inference. Collective Behaviour in Video Viewing: A Thermodynamic Analysis of Gaze Position
Zhuo Yin Econophysics. Stock market inference.
Eru Kyeyune-Nyombi Colloidal jamming systems. Experiments. High-resolution of particle contacts via fluorophore exclusion in deep-imaging of jammed collodial packings
Francesca Arese Lucini Brain networks.