CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduate at Matemática from Universidade Estadual de Campinas (1996) and ph.d. at Computer Science from Universidade Federal do Rio de Janeiro (2001). Has experience in Computer Science (Source: Lattes Curriculum)
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This activity plan focuses on applying continuous optimization techniques to two contexts: hyperparameter tuning in machine learning and distance geometry, specifically in describing the 3D structure of proteins, both of which have significant optimization applications. In addition to theoretical foundations, this project aims to develop and provide computational codes useful to the acade…
This project deals with theoretical, computational and application aspects of Optimization. The project aims at the development, theoretical analysis, implementation and application of algorithms for different aspects of Optimization, with emphasis on Continuous Optimization. The project relies on applications with which the team is familiar. Emphasis is placed on algorithms with a solid …
The focus of this proposal is the transfer of mathematical knowledge to other areas of science, technology and industry, through a structured research center specially tailored for this purpose. All mathematical knowledge is ultimately applicable, if not directly, through other areas of knowledge. In some areas the application of mathematics is almost immediate. However, the practical imp…
The calculation of the 3D structure of a protein molecule, using distances between nearby atoms from Nuclear Magnetic Resonance (NMR) experiments, is a fundamental problem related to the complex and costly process of development of new drugs by the pharmaceutical industry. The problem is NP-difficult, known in the literature by Molecular Distance Geometry Problem (MDGP). Unlike traditiona…
The field of structural biology has made significant progress in determining protein structures, which is crucial for understanding their biological functions and molecular activities, with important implications for health and biotechnology. Over the past decades, this area has produced numerous protein structures, primarily using continuous optimization approaches and local techniques. …
The problem is the calculation of the 3D structure of a protein molecule using distances between close atoms from Nuclear Magnetic Resonance (NMR) experiments. This is a fundamental problem in the complex and costly process of new drug development by the pharmaceutical industry. It is an NP-hard problem, known in the literature as Molecular Distance Geometry Problem (MDGP). Unlike traditi…
The Molecular Distance Geometry Problem (MDGP) is the problem of finding the conformation of a molecule from inter-atomic distances. In some recent work, we proposed the Branch and Prune (BP) algorithm that was developed based on artificial instances of the MDGP, which allows the discretization of the problem, and hence the applicability of the BP algorithm. The algorithm explores a discr…
| 3 / 3 | Ongoing grants |
| 5 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 5 / 0 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 16 / 9 | All research grants and scholarships |
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