- Research Grants
Graduated in Physics at the University of Campinas (UNICAMP) and obtained his M.Sc. and Ph.D. at the same University. He has experience in high energy physics and elementary particle phenomenology, focused on data analysis for strange hadron measurement and statistical-thermodynamical and hydrodynamical models applied to high energy nuclear collisions. He was a member of STAR/BNL Collaboration (USA), from 2007 to 2013, and ALICE/CERN Collaboration (Switzerland), from 2014 to 2018, working in the development of algorithms for data processing, analysis and visualization. Currently, he is data scientist and developer of predictive systems that employ Machine Learning and Deep Learning models for natural language processing. (Source: Lattes Curriculum)
We propose here a scientific project in phenomenology of Heavy Ion Collisions, with applications of hydrodynamic models to test and study known experimental observables and search and propose new observables. Within this context, we propose the development of a new Monte Carlo simulation code, to study hydrodynamical evolution in Heavy Ion Collisions at LHC energies. With this work, we ...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|