George Carvalho
Bioinformatics Internship@ Genomika Diagnósticos
Recife, Pernambuco, Brazil
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George Carvalho is a biomedical scientist with 9.4 years of experience in the field of genomics and bioinformatics. He has worked at G42 Healthcare and Genomika, developing high-performance pipelines for the human genome program and projects related to SARS-CoV-2. George also has experience in improving bioinformatics pipelines applied to DNA sequencing data. He has a strong background in computational biology, statistics, and machine learning. George is also an enthusiastic learner of statistics, data science, and machine learning. He is currently based in Recife, Brazil.
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Emails and Phone Numbers

@genomika.com.br
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About

I'm a biomedical scientist working in the areas of genomics and bioinformatics of high-throughput data analysis. I work in the bioinformatics group at G42 Healthcare and with colleagues from Biogenix and Omics center, mainly developing high-performance pipelines for the human genome program and projects related to SARS-CoV-2. I also worked with Genomika, Albert Einstein Israeli Hospital, and Varstation colleagues to improve bioinformatics pipelines applied to DNA sequencing data, from software benchmarking and implementation to interpreting genomic data. Moreover, I've done academic research bringing bioinformatics and machine learning methods together using open datasets. In particular, I'm an enthusiastic learner of statistics, data science, machine learning, and how it can be applied to health sciences. Https://github.com/geocarvalho Keywords: computational biology, bioinformatics, statistics, rare disease, cancer analysis, biomedical science, Illumina, MGI, Oxford Nanopore Technologies, population genetics, genomics, pipelines, nextflow, snakemake, python, R, shell script, docker, git, data analysis, machine learning.

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Work Experience

Rua Senador José Henrique, 224, RECIFE, PE, 50070-460, BR

Hospitals and Health Care

22
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George Carvalho's Professional Milestones

  • Research Internship (2014-05-01~2016-06-01): Conducted comprehensive research projects, contributing to advancements in the field.
  • Bioinformatics Internship (2015-08-01~2016-12-01): Achieved fluency and accuracy in bioinformatical data processing, contributing to the success of the research.
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Education

Centro de Informática UFPE
Centro de Informática UFPE

Machine Learning

2019-2022
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