Welcome! I am a machine learning/neuroscience researcher, developing ML-driven neuroscience technology to augment human capacity.
Currently, I am a PhD student in the Neural Computation and Machine Learning Joint Program at Carnegie Mellon University, working with Prof. Byron Yu and Prof. Matthew Smith.
My research goal is to develop a brain electrical stimulation framework to control brain activity. I combine a wide range of ML techniques (such as deep learning, reinforcement learning, and latent variable models) to develop a closed-loop system that optimizes high-dimensional brain stimulation parameters.
In the long term, I am passionate about applying ML-driven neuroscience technologies to improve our lives. While the current applications of neuroscience technologies are largely within the medical field, I believe in a future where these innovations enhance human capacity and transform our lives for the better in diverse ways. My current research project is my first step toward realizing this vision.