Kevin Shi

My research interests lie in the intersection of machine learning, causal inference, and medical science, particularly in understanding complex conditions like ADHD and Alzheimer’s. I currently work as a research assistant at the Shen Lab, where I contribute to projects focused on applying topological causal inference and machine learning methods to analyze large-scale medical datasets and transformer protein-ligand interactions. Outside of research, I am actively involved in the Wharton Investment & Trading Group, Penn Debate Society, and the University Life Space & Events (ULSE) Student Advisory Council.