Senior Lecturer
Information Science Institute

Ph.D., ETH Zürich


Short bio

Thomas Maillart aims to investigate, model and enhance human collective intelligence, through better understanding of incentives, structures and dynamics of social interactions online and in the physical world.

Thomas Maillart holds a Master from EPFL (2005) and a PhD from ETH Zurich (2011). At ETH Zurich, Thomas received the Zurich Dissertation Prize in 2012 for his pioneering work on cyber risks. Before joining the University of Geneva, Thomas Maillart was a post-doctoral researcher at UC Berkeley until 2016.

Thomas Maillart has co-founded a cybersecurity startup in 2005 and has consulted on cybersecurity for various governmental and private organizations.

Research & publications

Maillart, T., Zhao, M., Grossklags, J., & Chuang, J. (2017).
Given enough eyeballs, all bugs are shallow? Revisiting Eric Raymond with bug bounty programs.
Journal of Cybersecurity, 3(2), 81-90.

Sornette, D., Maillart, T., & Ghezzi, G. (2014).
How much is the whole really more than the sum of its parts? 1⊞ 1= 2.5: Superlinear productivity in collective group actions.
Plos one, 9(8), e103023.

Maillart, T., Sornette, D., Frei, S., Duebendorfer, T., & Saichev, A. (2011).
Quantification of deviations from rationality with heavy tails in human dynamics.
Physical Review E, 83(5), 056101.

Maillart, Thomas, & al. (2008).
Empirical tests of Zipf’s law mechanism in open source Linux distribution.
Physical Review Letters, 101(21), 218701.


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