Razvan Panea
Principal Genomic Data Engineer
New York, New York, United States
Summary
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Senior🎓
Top SchoolRazvan Panea is a Principal Genomic Data Engineer based in New York with a decade of experience building cloud-native infrastructure to process and analyze large-scale genomic data. He progressed through technical and leadership roles at Regeneron, where he architected production-grade genomics pipelines and led Genome Informatics to deliver at-scale, at-speed solutions. Razvan earned a PhD in Computational Biology from Duke, where he developed CloudConductor—a Kubernetes-enabled, cloud workflow engine used to analyze cancer genomes and publish findings in Blood. He combines deep bioinformatics research experience with hands-on software engineering, focusing on efficiency, cost-effectiveness, and reproducibility in genomics workflows. Notably, his work bridges academic tooling and enterprise production systems, aiming to make complex genomic analyses more accessible and operational.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Biology and Bioinformatics, Doctor of Philosophy (Ph.D.) Computational Biology and Bioinformatics at Duke UniversityBachelor's Degree Computational and Applied Mathematics, Bachelor's Degree Computational and Applied Mathematics at Jacobs University Bremen"Emanuil Gojdu" High School, Oradea
English, German, Romanian
Github Skills (10)
bioinformatics10
google-cloud10
pipeline10
genomics6
bed6
sequencing6
fm-index5
sequence-alignment5
infectious-diseases5
slurm1
Programming languages (2)
Github contributions (5)
labdave/CloudConductor
Nov 2015 - Jun 2020
CloudConductor is a workflow management system that generates and executes bioinformatics pipelines
Contributions:707 commits, 10 PRs, 186 pushes in 4 years 8 months
bioinformaticscloudgoogle-cloudpipelineworkflow
ripanea/ripanea.github.io
Jan 2020 - Jun 2023
Contributions:21 pushes, 1 branch in 3 years 5 months
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