Benedikt Venn
Data Scientist
Kaiserslautern, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolBenedikt Venn is a Data Scientist with eight years of experience blending computational systems biology research and production analytics work, currently at Exxeta after a multi-year research role at RPTU Kaiserslautern-Landau. He holds a PhD in Computational Systems Biology and earlier degrees in biotechnology, giving him strong domain expertise in modeling biological systems and translating that into data-driven solutions. An active F# open-source maintainer, Benedikt is a core contributor to FSharp.Stats and has materially enhanced the popular Plotly.NET F# bindings with new chart types and table features, showing a knack for visualization and developer-facing tooling. He combines academic rigor with practical engineering—improving code quality, docs, and UX in libraries used across the .NET ecosystem. Based in Kaiserslautern, he brings a rare mix of bioinformatics depth and full-stack data-science craftsmanship to interdisciplinary teams.
8 years of coding experience
Master, Microbial and Plant Biotechnology, Master, Microbial and Plant Biotechnology at Technische Universität KaiserslauternDoktor (Ph.D.), Computational Systems Biology, 0,0, Doktor (Ph.D.), Computational Systems Biology, 0,0 at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)Abitur, Abitur at Geschwister-Scholl-Gymnasium Daun
German, English
Github Skills (14)
net10
asp-net10
fsharp10
dotnet-new10
dotnet10
gchart10
chartjs10
charting10
dotnet-core10
charts10
csharp9
documentation9
documents9
document-generation9
Programming languages (5)
Github contributions (5)
plotly/Plotly.NET
Jan 2020 - Jul 2022
interactive graphing library for .NET programming languages :chart_with_upwards_trend:
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:22 commits, 8 PRs, 6 pushes in 2 years 5 months
Contributions summary:Benedikt primarily contributed to the F# implementation of the plotly.net library. Their work included adding new chart types like stacked area and table charts, alongside their documentation. Additionally, the user enhanced the library by incorporating features such as value-dependent cell coloring for tables and sequence representation. They also improved code quality by fixing typos and adding fonts.
dotnetgraph-librarychartwebglfsharp
fslaborg/FSharp.Stats
Jul 2017 - Jan 2023
statistical testing, linear algebra, machine learning, fitting and signal processing in F#
Contributions:16 releases, 121 reviews, 516 commits in 5 years 7 months
signalstatisticslinear-algebradifferentiationfsharp
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