Jean Michel Sellier is an Invited Professor at MILA (Montreal Institute of Learning Algorithms) and Associate Professor at the Bulgarian Academy of Sciences.
In 2015 he published a new formulation of quantum mechanics which describes quantum systems by means of signed particles (in other words experimentally reachable and non-reachable particles) which he is currently improving by means of typical machine learning tools such as neural networks:
He is also currently working on the signed particle Wigner Monte Carlo method (which is a numerical discretization of the signed particle formulation) and its applications to time-dependent, single- and many-body, multi-dimensional quantum problems related to various disciplines (mainly Physics, Chemistry and nanotechnologies).
He studied mathematical physics at the University of Catania (Italy). His PhD tutor was one of the most influent mathematical physicist in Italy at that time (A.M. Anile). Jean Michel gained experience during his postdocs at Imperial College London (UK) in Plasma Simulations and at INRIA (Institut national de recherche en informatique et en automatique), Rocquencourt (France), in Semi-classical Hydrodynamical Electron Transport models. He has also been a Research Associate and Assistant Professor at Purdue University, IN, USA.
He holds a “laurea in matematica” magna cum laude and a PhD in Mathematics (simulation of semiconductor devices), both from the University of Catania (Italy).
Jean Michel is the developer of Archimedes and nano-archimedes, two GNU packages for the design and simulation of semi-classical and mesoscopic semiconductor devices in 2D and for multi-dimensional, time-dependent, single- and many-body full quantum simulations respectively.
In the following are some links related to the work of Prof. Sellier: