Dominique Sydow
Cheminformatics Research Scientist 3
United Kingdom
Summary
👤
Senior🎓
Top SchoolDominique Sydow is a cheminformatics and structural bioinformatics scientist with nine years of experience applying data-driven methods to guide drug discovery decisions. Currently a Cheminformatics Research Scientist at Recursion, Dominique has held progressive research roles at Exscientia, Sosei Heptares and academic labs where they developed kinase-focused tools like KiSSim and KinFragLib during a PhD at Charité. They contribute to the TeachOpenCADD open-source teaching platform and have improved widely used tools such as BioPandas by enhancing PDB handling, unit tests, and robust error reporting. Skilled in mining chemical, structural, and pharmacological datasets, Dominique blends software engineering with domain expertise to translate complex molecular data into actionable insights. Known for pragmatic code improvements and reproducible workflows, they bridge academic rigor and industry-scale cheminformatics practice.
9 years of coding experience
8 years of employment as a software developer
Doctoral candidate Structural Bio/Cheminformatics, Doctoral candidate Structural Bio/Cheminformatics at Freie Universität BerlinMaster's degree Biophysics, Master's degree Biophysics at Humboldt-Universität zu BerlinBachelor's degree Molecular Life Science, Bachelor's degree Molecular Life Science at Universität zu Lübeck
English, German, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
bioinformatics10
pandas10
pdb10
python10
pytest9
unit-testing9
computational-biology7
Programming languages (8)
Github contributions (5)
BioPandas/biopandas
Oct 2020 - Oct 2020
Working with molecular structures in pandas DataFrames
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 7 comments in 8 days
Contributions summary:Dominique focused on enhancing the `biopandas` library, specifically improving the handling of PDB files. They implemented a method to read PDB files from a list and added unit tests. Furthermore, they improved error handling by raising exceptions for incorrect file formats and when no atoms are loaded. They also refined the code by removing whitespace and ensuring the correct handling of mol2 format files.
pythonpdbmoleculebioinformaticsdataframes
volkamerlab/KinFragLib
Feb 2020 - Oct 2022
Kinase-focused fragment library
Contributions:2 releases, 2 reviews, 309 commits in 2 years 8 months
fragmentfocusedkinase
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.