Main current projects
Use the r/place 2022 reddit dataset to characterize early warning signals of transitions in complex human systems, using machine learning techniques. This also provides insights into the structure of massive conflicts and collaborations (are horizontal or vertical organizations more resilient to perturbations?) that lead to many recognizable patterns. We also intend to model the dynamics of the whole canvas with a statistical physics perspective.
Analyse and model the data on the moisture recycling network of the Amazon rainforest, to understand how regions of the forest depend on each other for their survival. Based on this work.
Combine ideas of polycentric governance, multi-layered networks and game theory to find ways to propagate environmentally-positive initiatives at larger scales more efficiently than those of trust-based communities.
Main past research
The CERN collaborations are very large, and all collaboration members are listed as authors on all publications. I have been member and author of the CMS Collaboration from 2019 to 2022. Only the results to which I have directly contributed are listed below.
My PhD thesis is available here.
Proceedings
Badger, S., J. Bendavid, V. Ciulli, A. Denner, R. Frederix, M. Grazzini, J. Huston, et al. ‘Les Houches 2015: Physics at TeV Colliders Standard Model Working Group Report’. ArXiv:1605.04692 [Hep-Ph], 2016. [link]
G. Falmagne for the CMS Collaboration, B_s^0 and B^+ nuclear modification factors in PbPb collisions at sqrt{s_NN} = 5.02 TeV with the CMS detector, PoS HardProbes2018 (2019) 143. [link]