Numbers are the free creation of the human mind.

I am passionate about viewing mathematics, computing, and music as tools to enhance problem-solving, create abstractions, and engage in self-directed learning. Why not consider them as existing in the same space, where they can transform from one point to another through structural analogies (not limited to mathematical ones)? This motivates me to develop libraries to tackle complex problems.

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 abstract systems similar to compilers, and number fields can be understood as extensions of a harmony.

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