Diagnosing Depression: Open source tools for mental health

Mental health disorders affects millions of people in the United States alone. Diagnosing mental health disorders is difficult and important work, and technical tools can help that process. Michelle, a Ph.D candidate studying open source technologies and mental health, will discuss existing projects that help automatically assess depression and introduces the coding tools she uses in her own research.


Michelle Morales Researcher, The Graduate Center, City University of New York

Michelle is a Ph.D. Candidate in Computational Linguistics at the CUNY Graduate Center. She is also a researcher and web developer at the Futures Initiative. Her main research interests are Natural Language Processing for mental health applications and open source technologies.

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Diagnosing Depression: Open source tools for mental health

Mental health disorders affects millions of people in the United States alone. Diagnosing mental health disorders is difficult and important work, and technical tools can help that process. Michelle, a Ph.D candidate studying open source technologies and mental health, will discuss existing projects that help automatically assess depression and introduces the coding tools she uses in her own research.

Michelle Morales

Researcher, The Graduate Center, City University of New York

Michelle is a Ph.D. Candidate in Computational Linguistics at the CUNY Graduate Center. She is also a researcher and web developer at the Futures Initiative. Her main research interests are Natural Language Processing for mental health applications and open source technologies.

← Back to program

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