Research project at Georgia Tech's Robotic Musicianship Lab. Open-ear headphones with excellent spatial audio capability and VR/AR compatibility. Recieved a GT AIM grant of $50,000 to develop Spherephones into a commercial product. Patent filed March 2026.
Deep Drawing is an intermedia performance about the sound of drawing. Using live audio input captured from the human performer’s drawing/writing, the AI performer generates in real-time a prediction of what the drawing looks like. Presented at NIME 2026.
Custom-built headphone amplifier using Objective2's circuit schematic.
Calculator + Oscillators. A simple calculator instrument that can be used to combine, modify, and play frequencies. This tool enables the user to work outside the confines of traditional scales, exploring acoustic beating effects and easily appling Pythagorean ratios. Built using p5.js with p5.sound.
Achieved state-of-the-art results detecting AI-generated music from generators unseen during training. Submitted to IEEE ICAASP 2027.
Lightweight machine learning algorithm that learns a VCV Rack patch for sound matching. Using a genetic optimization algorithm, this synthesizer can automatically tune control voltage signals to input audio.
Final project for the course "Foundations of Fairness in Machine Learning". Partnered with another undergraduate, Meera Kumar, to design a post-processing algorithm for a differentially-private fair support vector machine classifier.
Summer research project as an undergraduate researcher working under postdoctoral advisor Seunghee Oh at Professor Ashley Bucsek's materials science research lab.