Henrique Musseli Cezar

Graduated in the Bachelor of Computational Physics Institute of Physics of São Carlos, USP and got his Master of Science (Applied Physics - Computational) at the same institute, he holds a PhD in Physics from the Institute of Physics (USP), working with condensed matter, and having interest on the development of methods for molecular simulation, such as Monte Carlo methods and molecular dynamics. He has experience in developing software for scientific computing and data analysis, and has worked on the implementation of new methods and parallelization of software using multi-process in shared memory. He has interest in physical-chemical and biochemical systems, in organic systems but also in nanomaterials. Has experience with Configurational Bias Monte Carlo methods, Metropolis Monte Carlo, Grand Canonical Monte Carlo, hybrid particle-field, molecular dynamics and extended ensemble (such as Parallel Tempering Monte Carlo), as well as knowledge in global optmization of structures, clustering and parametrization of interatomic potentials. (Source: Lattes Curriculum)