Music Engineering Research

Audiorium is a product concept built on a music recommendation algorithm that I created using contrastive language audio pretraining, or CLAP. this algorithm can take plain text and images as input to search for music that is most similar to your exact search, rather than the most popular songs. this project was inspired by CLAPSearch by Dr. Haohe Liu and musicmakerhub by Dr. Tom Collins.

For a project in my Design with AI class, I created an emotion classifier using Apple's developer tool CreateML. I pre-processed a...

This summer, I had the opportunity to work with a company called Moises to develop AI tools for music practice, production, and...

I participated as a judge in the AES 2025 Student Hackathon. Contestants were tasked with creating a real-time plug-in in MATLAB that...

For a class called User-Centered Design, I was tasked with taking an existing product, collecting data on the use of the product with...

I wrote my first graduate paper on the relationship between AI Sound Generation and different Graphic User Interfaces, and whether they...

Over this winter break, I found myself using multiple tools for AI music generation to co-create a song with AI. After a couple of songs...

For my final capstone project in university for the Bandier Program, I created a series of live acoustic recordings embellished by...