Mike Gao

Student @ Choate Rosemary Hall

Greetings, I'm Mike Gao.

I’m interested in the application of computer graphics and machine learning (rendering techniques, denoising methods, and artistic style transfer). My recent projects include implementing a neural style program to transform images to paintings using VGG-19 and a photorealistic ray tracer.

I completed research exploring the method of transforming paintings into classical music using Generative Adversarial Network. The music generator software my coworkers and I developed takes classical impressionist paintings as an input and generates classical music as an output. My co-authored paper published on IEEE ROBIO 2018 can be found here.

I constructed a realistic roller coaster simulation incorporating calculus and physics as well as a face recognizer program using Haar cascade classifier for detection and Eigenface for the recognition algorithm.

You can find me on LinkedIn, GitHub, or Email Me