CV Lattes
ResearcherID
ORCID
Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I have a Bachelor's degree in Biological Sciences (IB-UNESP; 1983), Master's degree in Statistics (IMECC-UNICAMP, 1987), and a PhD in Statistics (IME-USP, 1997). I have participated in research collaboration programs in the areas of Design of Experiments and Multi-omic Data Analysis with the following centers: Southwest Foundation for Biomedical Research (SFBR, TX, USA, 2001), Mayo Clinic (MN, USA, 2013), and University of Groningen (NL, 2018). I began my teaching and research career at the Department of Statistics of UNESP-Presidente Prudente (1987), then at IMECC-UNICAMP (1992). I am currently a tenured professor at IME-USP (since 1995). My research area is Applied Probability and Statistics, with emphasis on problems in the collection, processing and analysis of Omics Data (Genome, Transcriptome, Proteome, Phenomenon, etc.). I highlight the use and development of tools based on linear mixed models and multivariate techniques considering, mainly, data with dependency structures (related individuals by declaration or with genomic dependency) and high dimension ("big-p"). I maintain research collaboration with the Laboratory of Genetics and Molecular Cardiology of InCor/USP (Corações de Baependi Project), with the Department of Nutrition of the School of Public Health of USP (ISA-Nutrition Project) and with the Department of Parasitology of ICB/USP (Malaria Risk in Amazon Communities Project). (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
The primary goal of the visit is to advance the development of a methodological framework for causal discovery from observational data exhibiting complex dependency structures and diverse variable types. Building on our previous collaboration - focused on causal inference using conditional independence tests based on linear mixed models for analyzing Gaussian data from family-based studi…
To understand the genetic architecture of cardiovascular diseases, it's commonly used the construction of the genetic map of these diseases. However, this procedure has certain difficulties, from the definition and collection of the data to its analysis. In general, for these studies are collected data from individuals and their families, in which many variables are evaluated phenotypic a…
The study of complex diseases such as hypertention, diabetes and obesity is of great importance in medicine since these diseases affect many persons in our country and the world. It is believed that the pattern of variation of these diseases involves environmental and genetics components, and their possible interactions. For mapping of genes in human complex diseases, the biotechnology re…
| 1 / 1 | Ongoing grants |
| 4 / 2 | Completed research grants |
| 5 / 2 | Completed scholarships in Brazil |
| 1 / 0 | Completed scholarships abroad |
| 11 / 5 | All research grants and scholarships |
| Associated processes | |