Research Statement

Psychiatric disorders remain a leading cause of global disability, yet psychiatry lacks the objective biomarkers common in other medical fields—such as blood pressure for stroke risk. Furthermore, the standard of care relies on infrequent, episodic appointments that fail to capture the critical fluctuations in a patient’s mental state occurring in the weeks between visits.

The convergence of wearable technology and artificial intelligence offers a solution to these limitations. By transitioning symptom monitoring from the clinic to daily life, we can move beyond sparse data points toward continuous 'digital biomarkers.' This shift enables more precise clinical decision-making and facilitates timely, proactive interventions.