Carlos Eduardo Madureira Trufen, M.Sc. Email & Phone Number

Liège, Wal, Be

Liège, Walloon Region, Belgium

Researching potential molecular targets in multiple sclerosis.

Reviewed scientific papers, including confidential comments to editors and comments to authors.

Prague, Czechia

Project: Integration of phenotyping and functional genomic data

Prahe, Czech Republic

Development of pipelines to analyze both bulk and single-cell RNA-Seq data. The bulk RNA-Seq pipeline includes quality control, batch effect removal, differential expression analysis, ORA, GSEA, and deconvolution analysis. The scRNA-Seq pipeline includes doublet removal, feature selection, clustering, annotation, differential expression analysis, cell cycle assignment, and trajectory analysis.Performed motif discovery from CHIP-Seq data.Participated in the preparation of grant proposals, scientific manuscripts, and reviews. Use of statistical analysis (multiple factor analysis, correlation) and data visualization.Programming in the R (caret, mlr, XGBoost) and Python (TensorFlow, Keras) languages, using Linux systems, and CPU/GPU parallelism. Automation of routine tasks (including emailing).

Analyzed bulk RNA-Seq datasets related to neurodegenerative disease, searching for potential marker lncRNAs.Investigated potential miRNA-lncRNA binding sites.

São Paulo Area, Brazil

Designed, developed, and implemented a custom pipeline to pre-process and analyze experimental data produced by large-scale transcriptome experiments (RNA-Seq) aiming to discover new molecular targets, taking part in the data analysis and interpretation of results (cell signaling, immunology, and cancer). Pre-processing had removal of phi X sequence, removal of adapters, sequence alignment, and batch effect correction. The analyses included differential expression, coexpression analysis, network/systems biology, pathway enrichment, statistical analyses (PCA analysis, linear regression), and visualization.Programmed in R and Python, optimizing code, implemented in Linux systems using multiprocessor cluster systems for parallel processing.Employment of tools to predict viral epitope peptide and protein structure.

São Paulo E Região, Brasil

Dry lab:Designed, pre-processed, analyzed, and interpreted NGS-based experiment (RNA-Seq) to optimize biotechnology production. The analyses included differential expression, coexpression, and pathway enrichment, with programming in R language and Linux systems. Wet lab:Prepared solutions, controlled reagents stock, dosed bacterial polysaccharides, handled autoclave, pH-meter, and spectrophotometer.Performed molecular biology experiments (RNA enrichment, qPCR).

Av. Dr. Arnaldo, 355, Cerqueira Cesar, São Paulo

Prepared culture media, handled autoclave and pH-meter; elaborated and approved biosafety and standardized operational procedures (SOPs).

São Paulo E Região, Brasil

Performed hydrobiological analyses, collected samples, applied the Sedgwick-Rafter method, identified algae.

Avenida Miguel Stéfano, 3031, Água Funda, São Paulo

Monitoring of students by the Botanical Garden.

Av. Fernando Do Espírito Santo Alves De Mattos, 1000, Itaquera, São Paulo

Acting in Environmental Education, with the development of socio-environmental activities for the local community;

Ph.D., Unfinished, Bioinformatics

Master'S Degree, Bioinformatics

http://www.teses.usp.br/teses/disponiveis/95/95131/tde-16032018-144403/pt-br.php [doi:10.11606/D.95.2018.tde-16032018-144403] Analysis.

Bachelor'S Degree, Mathematics

Bachelor'S Degree, Science & Technology

Bachelo, Biological Sciences