• PhD in Electrical Engineering, Universidade Federal de Minas Gerais, 2006. 
• MSc in Pure Mathematics (with distinction), Universidade Federal de Minas Gerais, 2002. 
• Specialization in Matematics, Universidade Federal de Minas Gerais, 2000.
• Specialization in Mathematics (Teaching Degree), Pontificia Universidade Catolica de Minas Gerais, 1999.
• BSc in Mathematics, Universidade Federal de Minas Gerais, 1997. 

I joined Aston in 2017, and am a Lecturer in Computer Science. My research is concerned with  population-based multiobjective optimization and matheuristics, multi-criteria decision analysis, mathematical and statistical aspects of optimization theory. I am a member of theAston Lab for Intelligent Collectives Engineering (ALICE).

Previously, I was an Associate Professor at the CEFET-MG (CERCIA) in the Department of Computer Engineering, Belo Horizonte, Brazil. I obtained my Ph.D. at the Universidade Federal de Minas Gerais, on the topic of Local Search operators for Genetic Algorithms based on derivative-free quadratic approximation.  I also hold an MSc in Mathematics from the Universidade Federal de Minas Gerais, and before that, I read for a BSc in Mathematics at the Universidade Federal de Minas Gerais.

• 2017 – date: Lecturer in Computer Science, Aston University.
• 2010 – 2016: Associate Professor at CEFET-MG, Belo Horizonte, Brazil
• 2006 - 2010: Assistant Professor at the Universidade Federal de Ouro Preto, Ouro Preto, Brazil
• 2008 - 2009: Visiting Research at the University of Algarve, in the Science and Technology Faculty, Faro, Portugal

My teaching includes programming, computational intelligence and mathematics. 

My research is carried out as part of the Aston Lab for Intelligent Collectives Engineering (ALICE, http://alice.aston.ac.uk). I am interested in multiobjective optimization, evolutionary algorithms, experimental assessment of algorithms, dynamical systems, and engineering design optimization.

My work is concerned with both abstract problems as well as applied ones. I have a number of ongoing collaborations with engineers and international universities and have worked on hybrid micro grid systems for generation and distribution of renewable energy sources.