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Angélica Moreira is a late 2nd year PhD student in the Computer Science Department at Federal University of Minas Gerais (UFMG). She is a member of the Compilers Laboratory (LAC), where she is advised by Professor Fernando Magno Quintão Pereira. She holds an M.Sc degree in Computer Science from the Federal University of Ouro Preto (UFOP) and a B.Sc degree in Computer Science from the Pontifical Catholic University of Minas Gerais (PUC Minas).
Angélica’s research interest lies in pursuing the design and implementation of techniques that reduce program binary size and make them run faster on heterogeneous architectures. Her research focuses on combining machine learning and compilation techniques to achieve her goal. Her dream is to contribute to a better world through the development of science and technology.
|CGO 2021||When Binary Optimization Meets Static Profiling|
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