Data Analytics with a Purpose

Improving Mental Health through Machine Learning

The Walsh Lab translates Healthcare Data to Action through Machine Learning and Decision Support for vulnerable populations like those with suicidality and mental illness.

Our research focuses on the application of data science to complex healthcare data to enable mental, behavioral, and population health. Our collaborators are internists, psychiatrists, psychologists, engineers, epidemiologists, statisticians, community case managers, mobile crisis teams, and more.

We translate our predictive algorithms through informatics and implementation science to the point-of-care. We have partnered with other research teams around the world to glean insights from these complex data to predict and prevent self-harm and to improve mental health.

Find out More


Interview on AirTalk with Matthew Nock, Harvard, and host, Larry Mantle


September 15, 2018

Hear the Interview

NPR AirTalk

Interview with First Author, Dr. Lindsey McKernan, on our Recent Study


September 30, 2018


See the Interview


YouTube with VUMC Reporter

2018 ODP Early-Stage Investigator Lecture

April 19, 2018

Read the Article

National Institute of Health

AI Helps Identify People at Risk for Suicide

March 23, 2018

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Wall Street Journal

Team to develop suicide risk model for military

January 18, 2018

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VUMC Reporter

    Stay up to date with the latest developments in our work in The Walsh Lab.
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