Team members – Complexity and Causal Structures

Nicolas Brodu, permanent researcher at Inria Bordeaux. Data science, complex systems physics, modeling and inference, signal analysis
Contact: nicolas dot brodu at inria dot fr
James P. Crutchfield, distinguished professor at UC Davis. Computational mechanics, physics of complexity, statistical inference for nonlinear processes
Contact: chaos at cse dot ucdavis dot edu

Alexandra Jurgens, Post-doctoral researcher. Stochastic modeling, information theory, stochastic thermodynamics, information engines

Marina Sáez Andreu, post-doctoral researcher. Dynamical systems, time series analysis, ENSO phenomenon.
Bertrand Ygorra, post-doctoral researcher. Remote sensing, time series analysis, carbon dynamics

Mikhael Semaan, PhD student. Stochastic thermodynamics, ecological modeling, information theory, causal state inference
Adam Kunesh, PhD student. Origins of model complexity, dynamical systems theory, nonlinear modeling, machine
learning
Samuel Loomis, PhD student. Representation theory and geometry of complex processes, quantum computational mechanics, quantum statistical mechanics

Sarah Marzen, assistant professor at Keck Science Department, Pitzer, Scripps, and Claremont McKenna Colleges. Applied information theorist, theoretical biophysicist, machine learning
Adam Rupe, post-doctoral researcher at Center for Nonlinear Studies, Los Alamos National Laboratory. Computational mechanics of spatiotemporal systems, machine learning, big data, high performance computing
Yao Liu, Senior lecturer at Geography and Environmental Sciences department, Northumbria University. Plant and ecosystem ecology, ecological modeling
Luc Bourrel, Chargé de Recherches at Geosciences Environnement Toulouse and IRD. Hydroclimatology, ENSO phenomenon, South America
Pedro Rau, Prof. at Centro de Investigación y Tecnología del Agua, UTEC. Hydroclimatology, ENSO phenomenon, Peru, Andes