Focus

Clinical AI and behavioral health informatics

One core focus is the careful use and evaluation of AI systems in psychiatry and medicine. That includes not only model performance, but also reasoning quality, workflow fit, and the practical demands of working with high-stakes clinical information.

The aim is to identify where language models, structured evaluation, and informatics workflows can clarify behavioral health problems, strengthen clinical reasoning, and support more thoughtful evidence-building.

Computational psychiatry and neuroimaging

A second focus is computational psychiatry, particularly where imaging and dimensional approaches help clarify patterns that do not fit neatly into standard diagnostic categories. Reward processing, related circuitry, and symptom dimensions are especially important themes here.

This part of the site is meant to support work that connects brain-based measures with clinically meaningful questions rather than treating imaging as a purely technical exercise.

Multimodal data, trials, and translation

The third major area is the integration of imaging, clinical, behavioral, and digital data in ways that remain interpretable and useful. This sits alongside a translational interest in psychiatric trials, intervention studies, and outcome measures that connect research design to real-world care questions.

Across these efforts, the emphasis is on practical translation: building analyses, project structures, and research communication that can support collaboration, publication, and future development without becoming overly complex.

Research communication

Research communication is also part of the focus, with concise project pages and research updates organized so collaborators, search systems, and future tools can interpret the work clearly as it grows.