Unleashing Students' Tech Genius to Improve Mental Health

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      "details": "Lisa Marsch, PhD, directs Dartmouth’s Center for Technology and Behavioral Health and is a professor of psychiatry and biomedical data science. A global leader in digital therapeutics, she pioneered the first FDA-authorized digital treatment for opioid addiction, transforming mental healthcare. Her work focuses on developing additional therapeutics for HIV prevention, mental health, binge eating disorder, and more, blending cutting-edge technology with rigorous science. She is currently overseeing a student-led project that is developing a new AI tool that provides personalized real-time insights and recommendations to promote mental health and flourishing in student life. Lisa has previously given keynote speeches at the White House, World Bank, U.N., and Congress to share her work.",
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      "details": "Keene Dampal is a Dartmouth student from Davao City, Philippines. As someone who studies Neuroscience on the Pre-Med track, he is deeply passionate about youth mental health. He is actively involved with the Student Wellness Center as a Peer Wellness Coach, where he underwent specialized training to provide effective mental health support to students through wellness check-ins. He is also a pioneering project assistant at Evergreen, a student-led AI mental health project, where he contributed to content creation and ensured the inclusion of motivational interviewing in the platform's development. Outside the mental health sphere, he enjoys working with children at the Dartmouth College Child Care Center.",
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      "details": "Asli a computer science and biology major with a minor in human-centered design, with a passion about using technology to make healthcare more accessible, preventative, and equitable. Originally from Istanbul, Türkiye, she hopes to bring a global perspective to the intersection of wellness and innovation. She’s worked on projects that improve healthcare delivery from both provider and patient perspectives by combining computer vision with traditional pathology tools to bridge digital and global diagnostic workflows, and translating text into musical patterns to support speech therapy. As an active contributor to a student-led AI mental health project, she focuses on developing applications that expand access to mental health solutions.",
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