How can artificial intelligence and large language models help more people get science-backed treatments for mental disorders? How do psychological processes like depression and anxiety show up in human language? I use large language models, natural language processing, and machine learning to address these questions.
I am a clinical psychologist and computational researcher at the Stanford Institute for Human-Centered AI working in the Computational Psychology and Well-Being and Fidelity, Adaptation, Sustainability, and Training labs. I am also the associate director of the CREATE Center for Advancing Therapy with AI, run by the fantastic Shannon Wiltsey Stirman and Johannes Eichstaedt.
I did my PhD at the University of Pennsylvania in the Boundaries of Anxiety and Depression lab. I’m part of the World Well-Being Project. My research has been supported by the National Science Foundation.
My research and clinical practice focuses on the evidence-based therapies, including CBT for depression and insomnia, exposure therapy for the anxiety disorders, exposure and response prevention for OCD, and cognitive processing therapy, prolonged exposure, and written exposure for PTSD.
I co-write Minds in Bloom with my close friend and colleague Marin Kautz. We distill information about kids’ mental health science and teach parents how to use science-backed skills like exposure and acceptance at home.
My research and ideas have been featured in outlets including the Guardian, Vox, Forbes, WebMD, Dropbox Blog, Worth Magazine, Stanford Medicine Magazine, Penn Today, and HAI News.
I’ve been a guest on radio shows and podcasts including KQED, CBC, and Unraveling.
Our group also wrote a policy brief on using LLMs for mental health.
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