Lily Chen is pursuing a Doctorate in Computer Science from Stanford University.

Goals and Aspirations:  My goal is to develop intelligent, interpretable systems that integrate Al, signal processing, and wireless sensing to address real-world challenges. I plan to pursue a PhD in computer science at Stanford University, focusing on machine learning for time series analysis, edge intelligence, and RF-based passive sensing. My current research explores how large language models can reason over diverse sensor data-including EEG, ECG, seismic, and remote sensing signals-to extract robust, domain-general insights. I aim to extend this work to wireless systems that leverage technologies such as Wi-Fi, LoRa, and millimeter-wave radar for non-contact sensing of human activity, physiological signals, and environmental conditions. Long-term, I hope to lead interdisciplinary research at the intersection of Al, embedded systems, and human-centered design-creating scalable, low-power technologies for smart health, ambient intelligence, and resilient infrastructure monitoring.