Deciphering Mechanisms of ECT Outcomes and Adverse Effects (DECODE)

Electroconvulsive therapy (ECT) is one of the most effective antidepressant non-invasive brain stimulation therapies for adults with major depression. However, a number of patients fail to respond despite adequate trials, and while clinically beneficial, ECT can produce adverse cognitive effects including amnesia, executive dysfunction, and verbal dysfluency. In this prospective study, we propose the first […]

Machine learning algorithms using natural language processing: A new screening approach for inpatient violence based on clinical notes 

Despite increasing violence, verbal abuse, and threats against healthcare workers by hospitalized patients, few methods can accurately and efficiently screen patients for this outcome. Our project aims to create an algorithm powered by natural language processing—a form of artificial intelligence—to “read” clinical notes and identify high-risk patients prior to violent events. To ensure equitable care, […]

Psychosis beyond symptoms: Cognitive and genetic biomarkers of schizophrenia

Schizophrenia is a prevalent, debilitating psychiatric disorder that is diagnosed based on clinical interviews that are subjective and highly variable; in fact, two patients can have no overlapping symptoms and be diagnosed with the same disease. While cardiologists have blood tests to help diagnose heart attacks and oncologists have PET scans to find hidden cancers, […]

Validating changes in a primary-care based alcohol use screening instrument for predicting changes in risk for psychiatric acute care utilization

Approximately 20-25% of primary care patients have unhealthy alcohol use, which can have significant impacts on mental health. Screening for unhealthy alcohol use within primary care settings is increasingly used for point-in-time identification of people who could benefit from brief advice or brief interventions. My project will use a large, longitudinal, real-world dataset consisting of […]

Event- related potential (ERP) as a biomarker for subtyping neurobiology of PTSD: A pilot study

This PTSD-focused methods-development EEG project aims to develop new tools for a) predicting PTSD treatment response, b) understanding the underlying biological process, and c) supporting the development of new treatments for PSTD. We are using an event-related potential (ERP) paradigm to develop non-invasive, easily implemented in clinic biomarker to provide useful information about the neurobiology […]

Self-directed mindfulness in medically hospitalized patients: a pragmatic trial

Consultation-liaison psychiatrists are often asked to manage mood and anxiety symptoms experienced by patients admitted to medical and surgical floors of the hospital. This study aims to determine the feasibility and effectiveness of a self-directed mindfulness intervention as an adjunctive treatment for improving mood, anxiety, and perceived stress in medically hospitalized patients. Participants, consisting of […]


Harnessing the power of social support for weight management: a randomized controlled trial of HealthyTogether

We developed a behavioral intervention that seeks to support healthy lifestyles among Veterans by harnessing their social support networks called HealthyTogether. This trial has several aims: 1) Test whether HealthyTogether results in greater weight loss than usual care at six months among Veterans (primary); 2) Examine differences between HealthyTogether and usual care groups in secondary […]

Community resilience to late life depression among first generation Asian Indian immigrants in the greater Seattle area (The CREED Seattle Study)

Asian Indians, are one of the fastest growing ethnic groups in the country, growing from 1.9 million (2000) to 4.6 million (2020). With a median household income of $119,000, Asian Indians are highly educated (43% have a postgraduate degree), are proficient English speakers (82%) and are often touted as a “model minority”. While these data […]