Aaron Taudt
Head Of Research at Quant IP
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAaron Taudt is a scientist-turned-technology leader with 11 years of experience at the intersection of computational biology, machine learning, and quantitative finance. Currently Head of Research at Quant IP, he builds LLM-driven and multi-agent systems that translate patent data into actionable investment insights, having previously scaled the company’s innovation platform as CTO. His background includes a PhD in bioinformatics and published toolkits for epigenetic sequencing and genomic analysis, reflecting deep expertise in statistical modeling, HMMs, and large-scale data engineering. Known for forming high-performing engineering teams, he combines hands-on coding (weaving code since 2003) with academic rigor to turn complex scientific signals into commercial analytics and valuation models.
11 years of coding experience
9 years of employment as a software developer
PhD Bioinformatics, PhD Bioinformatics at University of GroningenDiplom Biologe (t.o.) Technical Biology, Diplom Biologe (t.o.) Technical Biology at University of Stuttgart
Github Skills (32)
sequencing10
approximate-nearest-neighbor-search9
nearest-neighbor-search8
chip-seq8
r8
postgresql7
similarity-search7
pandas7
python7
data-structures6
genomics6
vscode6
data-analysis6
bioinformatics6
r-package6
Programming languages (4)
Github contributions (5)
ataudt/chromstaR
Apr 2016 - Dec 2021
Combinatorial and differential ChIP-seq analysis in R
Contributions:2 releases, 55 commits, 6 PRs in 5 years 8 months
chip-seqr
ataudt/methimpute
Mar 2018 - Apr 2019
Contributions:1 release, 13 commits, 3 PRs in 1 year 1 month
imputewgbsdnadna-methylationgenomics
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