Martha Thomae
Postdoctoral Researcher at Universidade Nova de Lisboa
Sant Vicent del Raspeig / San Vicente del Raspeig, Valencian Community, Spain
Summary
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Senior🎓
Top SchoolMartha Thomae is a postdoctoral researcher in Music Technology with a decade of experience specializing in symbolic music, music encoding, and the preservation of mensural notation from the Late Middle Ages and Renaissance. She develops practical tooling and standards work—co-chairing the Mensural MEI Interest Group—and has contributed code to widely used open-source projects like the verovio engraving library to improve mensural duration handling. Her current work digitizes and encodes colonial Guatemalan mensural choirbooks, combining archival scholarship with software engineering to make fragile repertoires machine-readable. With a PhD from McGill and a background in mathematics, she bridges rigorous computational methods and historical musicology to advance long-term digital preservation.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Universidad del Valle de GuatemalaDoctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at McGill University
English, Spanish
Github Skills (11)
ei10
imei10
c-language10
cprogramming-language10
music-notation10
musicxml9
algorithms8
data-structures8
algorithm8
data-structure8
javascript5
Programming languages (11)
Github contributions (5)
rism-digital/verovio
Jul 2020 - Feb 2021
🎵 Music notation engraving library for MEI with MusicXML and Humdrum support and various toolkits (JavaScript, Python)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 5 commits, 12 PRs in 7 months
Contributions summary:Martha primarily contributed to the `verovio` music notation engraving library, focusing on improving the handling of mensural notation. Their work involved modifying the `durationinterface.cpp` file to correctly interpret musical qualities like 'perfecta' and 'imperfecta' within different mensuration contexts. They addressed interpretation issues in note values, particularly for smaller note durations, ensuring accurate rendering of music notation based on mensural rules. The user's work ensured correct interpretation and alignment of musical durations within the engraving library.
engravingpythonmusic-compositionpypisvg
martha-thomae/Mensural-score-to-CMN-score
Mar 2017 - Feb 2020
Contributions:10 commits, 28 pushes, 1 branch in 2 years 11 months
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