Charlotte Tumescheit
Research Associate
Switzerland
Summary
🤩
Rockstar🎓
Top SchoolCharlotte Tumescheit is a research-focused software engineer with 10 years of experience applying mathematical rigor to computational biology and structural bioinformatics. Trained in mathematics (MSc, BSc) and holding a PhD from Cambridge in Computational/Mathematical Biology, she has built C++ and Python tools for RNA secondary-structure prediction and alignment-aware visualization of sequence data. Her postdoctoral and industry roles across Zurich, Seoul, and Japan include contributing back-end improvements to the widely used Foldseek project—implementing nearest-neighbor search and refining Needleman–Wunsch scoring to speed and improve structural comparisons. Now based in Switzerland as a Research Associate at Idiap, she bridges academic research and production-ready engineering, shipping performant algorithms for large-scale structure search. Colleagues value her blend of algorithmic depth, practical implementation skills, and a knack for turning complex comparative-genomics problems into efficient software.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computational/Mathematical Biology, Doctor of Philosophy (PhD), Computational/Mathematical Biology at University of CambridgeMaster of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at Freie Universität Berlin
English, German, Japanese
Github Skills (9)
algorithm10
data-structures10
bioinformatics10
algorithms10
c-language10
cprogramming-language10
data-structure10
text-alignment8
text-align8
Programming languages (4)
Github contributions (5)
steineggerlab/foldseek
Sep 2021 - Apr 2022
Foldseek enables fast and sensitive comparisons of large structure sets.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 commits, 2 pushes in 7 months
Contributions summary:Charlotte contributed to the `Foldseek` repository by implementing and modifying core functionalities within the `pareunaligner.cpp` file. These changes involved the development of a nearest-neighbor search algorithm and its integration into the alignment process. The user also made adjustments to the Needleman-Wunsch scoring function and the overall structure alignment workflow, improving its efficiency and potentially its accuracy.
protein-structurealignmentssensitivecomparisonsbioinformatics
schnamo/physioweb
May 2016 - Mar 2020
Website for physiotherapy practise built with bootstrap and jekyll
Contributions:35 pushes, 3 branches in 3 years 10 months
bootstrapphysiotherapyjekyllpractise
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