About me

I am passionate about solving problems and creating abstractions, with a focus on self-learning in technological environments. My interest in mathematics drives me to continuously explore its application, especially in software development, which leads me to create libraries to tackle complex problems.

Experience

I have extensive experience in both in-person and online teaching at the undergraduate and graduate levels, specializing in live coding and musicology. Feedback on my teaching practice is mostly favorable, highlighting my ability to communicate complex concepts clearly and accessibly.

Interests

  • Mathematical Music Theory
  • Domain-specific languages (DSLs) for music
  • Computer-assisted music composition and improvisation
Technologies
  • TypeScript, Node.js, Express, SQL, Git

  • Some knowledge of Ruby and Python

  • LaTex, GeoGebra, Zotero, BibTex

  • Sonic Pi, MuseScore, Reaper

Education

UNIR | Master's Degree in Music Research

2019 - 2020 | Spain
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I received the highest distinction with a perfect score in Computational Music Analysis. Overall average: Outstanding • TFM: I applied the theory of simplicial complexes (MaMuTh) to analyze a musical style using specialized software. 💻 HexaChord, Geogebra, LaTex

USMP | B.A. in Music

2009 - 2015 | Lima, Perú
© 2025 Edgar Delgado Vega