Mattias Frånberg
Senior Data Scientist
Greater Stockholm Metropolitan Area Sweden
Summary
👤
Senior🎓
Top SchoolMattias Frånberg is a Senior Data Scientist with 14 years of experience building production-grade data and backend systems, currently shaping metric and anomaly-detection efforts at Spotify. He combines a PhD-strength background in computational biology and statistics with hands-on engineering across Python, Go, Kubernetes and cloud data pipelines, enabling him to bridge research, tooling and product delivery. As a co-founder at Moli he designed end-to-end cloud architectures (real-time video, gRPC, streaming) and led data-informed fundraising and product decisions, showing both technical and commercial impact. His open-source contributions include deep work on Snakemake’s backend and scheduler, reflecting comfort with complex workflow systems and DevOps integrations. Known for tackling “impossible” problems, he moves fluidly between low-level C++/systems work from his academic tooling (besiq, libplinkio) and large-scale ML/streaming deployments.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Computational biology, Statistics, Doctor of Philosophy - PhD, Computer Science, Computational biology, Statistics at KTH Royal Institute of TechnologyIT-Gymnasiet Södertörn
English, Swedish
Stackoverflow
36reputation
3kreached
5answers
0questions
Github Skills (13)
json10
workflow-management10
snakemake10
python10
back-end-development9
packaging6
mobile6
user-interface6
cross-platform6
interpreter6
runtimes6
compiler-construction6
yaml5
Programming languages (9)
Github contributions (5)
snakemake/snakemake
Apr 2015 - Apr 2015
This is the development home of the workflow management system Snakemake. For general information, see
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:7 commits in 6 days
Contributions summary:Mattias primarily focused on enhancing the Snakemake workflow management system. They implemented features for cluster configuration via JSON files, improving the flexibility of job submission parameters. Furthermore, the user addressed minor typos and improved code readability. Their work also included modifications to the executor and scheduler, demonstrating a strong grasp of the system's inner workings and potentially touching on DevOps aspects by integrating new configuration options.
management-systemworkflow-management-systemgeneral-informationreproducibilitysnakemake
mfranberg/epibench
Jan 2015 - Dec 2015
Contributions:38 commits, 13 pushes, 1 branch in 11 months
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