About me

Numbers are the free creation of the human mind.

— Richard Dedekind

I am passionate about using mathematics, computer science, and music to solve problems, create abstractions, and promote self-learning.

Why not consider them as existing within the same space, where they can transform into one another through structural analogies (not limited to mathematical ones)? This inspires me to develop libraries to address complex problems.

modular forms library on Sonic Pi
modular_forms

For me, an algorithm is not just a procedure but an object in itself, as musical as it is mathematical. Likewise, a musical score can be composed of systems similar to compilers, and number fields can be understood as extensions of a harmony.

Figurate Number in Polar Coordinates
5D Hyperoctahedron
I am not solely drawn to symmetry; it is just one perspective. Mathematics, nature, and art also communicate through their asymmetries. Concepts like non-commutativity reveal a deeper, more compelling kind of beauty.

Experience

I have extensive experience teaching both in-person and online at the undergraduate and postgraduate levels, with a focus on 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