Frank Chen

Frank (Sicong) Chen studies how wearable and mobile technologies can sense, interpret, and respond to human physiological and behavioral states in real time. His work asks how everyday devices can move beyond passive monitoring to become intelligent partners that understand when individuals are stressed, distracted, or vulnerable, and intervene in ways that meaningfully support well-being. His research combines physiological sensing, behavioral biometrics, and multimodal machine learning to reverse-engineer the signals that reflect internal cognitive and emotional processes. He builds systems that detect subtle patterns in movement, speech, and biosignals, and designs closed-loop algorithms that adapt interventions to the needs of each individual. By bridging biometric security and digital health, his work aims to enable technologies that are both safe and empathetic: systems that recognize who we are, infer how we are doing, and offer help at the right moment.