Stephanie Linker
Senior Scientist - Computational Biochemistry
Darmstadt, Hesse, Germany
Summary
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Senior🎓
Top SchoolStephanie Linker is a Senior Scientist in Computational Biochemistry with nine years of experience at the intersection of molecular simulation, machine learning, and drug/chemical innovation. Currently at Merck, she designs digital solutions—from graph neural networks for chemoinformatics and MD-driven lipid design to diffusion-based generative models for protein binders—and has rotated across LLMs, ontologies, and data engineering in enterprise platforms. Her PhD work at ETH Zürich on enhanced sampling and cyclic peptides underpins a pragmatic ability to turn advanced simulation and ML methods into deployable tools and Streamlit apps. She combines top academic training (MSc/BS with distinction) with startup and innovation program experience, and is notable for repeatedly bridging deep computational research with product-focused engineering in regulated industry settings.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Biochemistry, 1.0, Master of Science - MS, Biochemistry, 1.0 at Goethe UniversityETH Zürich
German, English, Chinese, Spanish
Github Skills (20)
symbolic-math9
spectrum9
energy8
sampling8
simulation8
jupyter7
visualization7
simulations7
python7
modeling6
rna-seq5
estimate4
numba4
structural-biology2
bayesian2
Programming languages (2)
Github contributions (5)
rinikerlab/cyclic_peptide_at_interfaces
Nov 2021 - Nov 2021
Contributions:31 pushes, 1 branch in 1 day
BICompChem/MSM_bind
Nov 2017 - Nov 2017
Contributions:9 commits in 1 day
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