Dina Zielinski
Principal Scientist - Computational Biology
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDina Zielinski is a Principal Scientist in Computational Biology with 12 years of multidisciplinary experience translating genomics and multi-omic data into clinically actionable insights across rare disease, neurology, cancer, and transplant medicine. She blends deep computational expertise—pipeline engineering, cloud/container deployments, synthetic data and API-driven tools—with hands-on experimental understanding from sequencing lab work to patient cohort curation. At INSERM and WhiteLab she has led international consortia, built diagnostic web apps and automated reporting tools, and implemented novel methods for data sharing and histogenomics-informed decision support. A founder and DNA data storage consultant, she uniquely bridges R&D, productization, and science communication—TEDx/keynote speaker and hereditary cancer patient ambassador—making complex biology accessible to diverse audiences. Based in Paris, she thrives in inclusive, cross-border teams and is known for turning tricky biomedical problems into reproducible, production-ready solutions.
12 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Biology, French, Bachelor's degree, Biology, French at New York UniversityBridgewater-Raritan High SchoolDoctor of Philosophy - PhD, Genomics and Biomedical Informatics, Doctor of Philosophy - PhD, Genomics and Biomedical Informatics at Sorbonne UniversitéMaster of Science, Bioinformatics, Highest honors, Master of Science, Bioinformatics, Highest honors at Université de ParisGraduate coursework, 3.9/4.0, Graduate coursework, 3.9/4.0 at Harvard UniversityGraduate coursework, Bioinformatics, 3.9/4.0, Graduate coursework, Bioinformatics, 3.9/4.0 at Brandeis University
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
bam9
tandem9
genome9
sequencing9
illumina9
fasta9
rna-seq9
genomics8
bioinformatics8
bioconda7
pipeline6
react4
statistical-genetics3
sequence3
deconvolution3
Programming languages (6)
Github contributions (5)
dinovski/iPipet
May 2014 - Mar 2021
source code for the benchtop pipetting tool iPipet
Contributions:40 commits, 10 PRs, 56 pushes in 6 years 11 months
TeamErlich/dna-fountain
Jun 2020 - Dec 2020
DNA-Fountain
Contributions:4 commits, 6 pushes in 6 months
fountaindnabiocondafastabam
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