Daniel De Oliveira
Associate Professor
Greater Rio de Janeiro Brazil
Summary
👤
Senior🎓
Top SchoolDaniel De Oliveira is an Associate Professor at Universidade Federal Fluminense and co-leader of its Database Research Group, with a D.Sc. in Systems and Computing from UFRJ and over a decade of academic leadership in data-intensive systems. His research spans data science, cloud computing, provenance management, scientific workflows, parallel data processing and bioinformatics, resulting in 150+ publications and a Morgan & Claypool book on data-intensive workflow management. A CNPq productivity fellow and FAPERJ “Jovem Cientista do Nosso Estado,” he has led multiple funded projects (including CNPq Universais and FAPERJ grants) that bridge theory and practical workflow systems for scalable cloud environments. He has chaired several international program committees and serves as an ad-hoc reviewer, evidencing influence in the global database and workflow communities. Based in Greater Rio de Janeiro, he combines rigorous research with hands-on project leadership and mentoring as principal investigator of the UFFeScience group.
9 years of coding experience
8 years of employment as a software developer
D.Sc, DataBases, Scientific Workflows, Cloud Computing, D.Sc, DataBases, Scientific Workflows, Cloud Computing at Federal University of Rio de Janeiro
English, Portuguese, Spanish
Github Skills (21)
docker-image9
singularity7
spark7
scala7
source-engine7
scientific-workflow6
workflow-scheduler6
golang5
hpc5
apache-spark5
kubernetes4
cloud-computing3
workflow-engine2
reinforcement-learning2
databases1
Programming languages (6)
Github contributions (5)
danielcmo/danielcmo.github.io
Jul 2023 - Jun 2026
Contributions:278 pushes, 1 branch in 2 years 10 months
UFFeScience/SAMbA
Feb 2018 - Sep 2019
SAMbA: Extending Apache Spark for Scientific Computational Experiments
Contributions:5 commits, 5 pushes, 1 issue in 1 year 6 months
apache-sparksparkprovenancedocker-imagescala
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