graduation at Ciência da Computação from Universidade de São Paulo (2003) and doctorate at Bioinformática from Universidade de São Paulo (2007). Has experience in Biochemistry, acting on the following subjects: astrocytomas, sage, access, normalization and bioinformatica. (Source: Lattes Curriculum)
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Networks pervade various domains, from molecular biology to social networks. However, empirical networks often exhibit stochastic behavior, challenging traditional graph theory-based approaches. Traditional approaches relying on graph theory face limitations in capturing the stochastic nature of empirical networks, motivating the need for alternative methodologies. Graph neural networks o…
Advancements in sensor technology have made dynamic, time-evolving network data, such as functional brain networks, the Internet of Things (IoT), and stock market trading networks, more readily available. Analyzing these networks often involves examining the network spectral distribution, which provides insights into the network's structure and serves as a framework for statistical analys…
Trypanosoma is a genus, which contains two pathogenic species to human beings: Trypanosoma brucei and Trypanosoma cruzi. These two species are relevant in terms of economy, welfare, and health. The metabolism of the different stages of both pathogenic trypanosomatids has been a matter of study not only because of their relevance for the economy and human health, but also because of their …
From the earliest single-neuron recording experiments through the multivariate functional magnetic resonance imaging (fMRI), one of the predominant themes in neuroscience has been the development of brain reading approaches and human-machine interfaces (HMI). Although decades of research, in both fields, advances are unsatisfactory, far from being useful in real-life tasks. Researchers of…
The CAPOEIRA project will cover theoretical computer science (essentially graph theory), mathematics (combinatorics, statistics, and probability), and the development of algorithms to address various biological questions, in particular, the intra and cross-species interactions, which have implications in all aspects of life sciences, including health, ecology, and environment. Two main ge…
(Only some records are available in English at this moment)
One of the bottlenecks of the methods for network statistics is the high computational cost to compute the spectral distribution (methods for parameter estimation, model selection, and comparison tests, for instance, are based on the spectral distribution of the graph) (Fujita et al., 2016; Takahashi et al., 2012). Currently, to estimate the spectral distribution of the graph, we compute …
Evidence suggests that emotions/brain states involve patterns of behavior, physiological, and neural activation. Some emotions have been successfully classified from peripheral physiological responses, bodily activation patterns (Kragel and Labar, 2015; Kreibig et al., 2007; Nummenmaa et al., 2014; Hietanen et al. 2016; Siegel et al., 2018), and subjective feelings (Saarimäki et al., 2018…
Over the last years, several real-world data have been modeled as graphs. Consequently, both the number of graphs and also their sizes have been increasing. Nowadays, it is possible to find very big graphs (millions of vertices). In this context, the development of efficient computational methods to analyze big graphs and the training of personnel able to use these computational tools bec…
(Only some records are available in English at this moment)
There are at least three main reasons to the lack of reduction of the number of people with alcohol abuse, major depression, and attention deficit hyperactivity disorders (ADHD), namely: (i) the late diagnosis at a time when psychopathology is already well advanced, (ii) a classification based on patient self-report and behavioral observation, which do not reflect the underlying biologica…
Graph theory has applications in several domains. For example, in molecular biology graphs may represent protein-protein interaction networks or gene regulatory networks; and in neuroscience they are used to study brain functional networks. As real world networks usually present intrinsic fluctuations (for example, brain functional networks vary across time and individuals under the same …
| 2 / 2 | Ongoing grants |
| 9 / 7 | Completed research grants |
| 9 / 9 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 22 / 20 | All research grants and scholarships |
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CV Lattes
ORCID