プロフィール詳細

プロジェクトを作成

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Dr. Gabriel M.に依頼

Brazil

AI-Driven Medical Data Analyst | Ph.D. in Bioinformatics | Expertise in Python, R & Matlab

プロフィール概要

I am a Bioinformatics researcher with a Ph.D. in Bioinformatics and a strong background in artificial intelligence, viral genomics, and pharmacogenomics. My work focuses on applying deep learning methods—especially convolutional neural networks—for the classification and phylogenetic analysis of SARS-CoV-2 variants. I have experience with Python, R, Matlab, and Linux, and have worked extensively with next-generation sequencing (NGS) data using Illumina platforms. Currently, I contribute to the development of an AI-powered pharmacogenomics platform for Brazil’s Unified Health System (SUS), aiming to advance personalized medicine through genomic insights. I also participated in genomic surveillance projects at LACEN in partnership with the Pan American Health Organization (PAHO), helping identify and monitor COVID-19 variants.

専門分野

• ☆ Data Analysis
• ☆ Image Processing
• ☆ Artificial Intelligence
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation

Research Technology Scouting, Fact Checking, Scientific and Technical Research

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics

職務経験

Bioinformatics Researcher/Developer

InovAI Lab

7月 2024 - 現在

BIoinformatician

Pan-American Health Organization (PAWHO/OPAS)

8月 2022 - 8月 2023

Teacher

Exponencial Cursos

10月 2021 - 1月 2023

学歴

Ph.D. in Bioinformatics

Federal University of Rio Grande do Norte

1月 2020 - 1月 2024

Masters degree in Pharmaceutical Sciences

Federal University of Rio Grande do Norte

1月 2017 - 1月 2019

Bachelor's degree in Chemical Engineering

Federal University of Rio Grande do Norte

1月 2008 - 1月 2013

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Gabriel B. M. Câmara, Maria G. F. Coutinho, Lucileide M. D. da Silva, Walter V. do N. Gadelha, Matheus F. Torquato, Raquel de M. Barbosa, Marcelo A. C. Fernandes (2022). Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification . Sensors.

Raquel de M. Barbosa, Cleanne C. Lima, Fabio F. de Oliveira, Gabriel B. M. Câmara, César Viseras, Tulio F. A. de Lima e Moura, Eliana B. Souto, Patricia Severino, Fernanda N. Raffin, Marcelo A. C. Fernandes (2022). New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations . Nanomanufacturing.

Raquel Barbosa, Cleanne C. Lima, Fabio Fonseca de Oliveira, Gabriel Câmara, César Viseras Iborra, Tulio F. A. de Lima e Moura, Souto, E.B., Patrícia Severino, Fernanda N. Raffin, Fernandes, M. A. C. (2022). New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations . Nanomanufacturing.

Gabriel Câmara, Maria Coutinho, Lucileide Medeiros Dantas da Silva, Walter Viana do Nascimento Gadelha, Matheus Torquato, Raquel Barbosa, Fernandes, M. A. C. (2022). Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification . Sensors.

OTHER

Maria G. F. Coutinho, Gabriel B. M. Câmara, Raquel de M. Barbosa, Marcelo A. C. Fernandes(2021). Deep learning based on stacked sparse autoencoder applied to viral genome classification of SARS-CoV-2 virus . Cold Spring Harbor Laboratory

CONFERENCE PAPER

Raquel de Melo Barbosa, Fabio Fonseca de Oliveira, Gabriel Bezerra Motta Câmara, Tulio Flavio Accioly de Lima e Moura, Fernanda Nervo Raffin, Marcelo Augusto Costa Fernandes(2020). Smart Design Nano-Hybrid Formulations by Machine Learning . {MDPI}