Melanie L. Bozzay

Melanie L. Bozzay studies suicide risk, using methods like ecological momentary assessment (real-time tracking of mood and behavior via smartphones) and machine learning to understand how sleep problems, rumination, and daily life stress relate to suicidal thinking and behavior. Much of this work focuses on veterans and psychiatric patients, including those with serious mental illness, heart failure, and dementia, often using large health-system datasets. A prospective student would be working on questions connecting sleep, mental health, and suicide risk using both intensive real-time monitoring data and large retrospective medical records.

Publication output has grown substantially over the past decade, rising from about 5 papers per year in 2017 to roughly 14-15 per year in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026