Yucheng Shao

I'm interested in the applications of machine learning in various sectors, including finance, neuroscience, and climate change. At Penn, I work in the Weber Lab using LSTM and CNN machine learning models to detect p-waves (brief peaks linked to brain state transitions) during sleep in both mice and humans, using EEG and LFP recordings. I have also conducted research under Professor Charles Yang in the Linguistics department, where I modeled how children learn pattern recognition using cognitive science principles. Previously, I have worked on research projects related to climate change, snowfall and weather prediction, and simulating space weather in the Earth’s magnetosphere. Outside of research, I’m a CIS 1200 TA, in Theta Tau, and involved with PennApps. Recently, I’ve been exploring software engineering through full-stack web development at a fintech company.