Harvard Catalyst Profiles

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John B. Torous, M.D.

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Biography
2020
Early Career Psychiatry Award
2020
Departmental Teaching Award
2017
Young Investigator Award
2016
Dupont Warren Fellowship
2015
The Laughlin Fellowship
2014
NIMH Outstanding Resident Award
2013
Geriatric Mental Health Honors Scholar

Overview

Mentoring
Digital Mental Health [login at prompt]
Available: 02/01/24, Expires: 12/31/25

Our group has several focuses including 1) investigating smartphone based digital phenotyping to predict relapse in mental health and 2) developing digital health tools for college mental health. Our goal is to understand how digital signals generated by everyday use of smartphones may be associated with symptomatology and to improve the quality and accessibility of treatment for mental illness through education, research, and innovation in digital psychiatry. We also seek to design mental health interventions offered via digital health. A working knowledge of statistics and computer science is necessary as is programming in R or Python. Opportunities are also available for the research assistant to be involved in supervised clinical and neurocognitive assessments. Further clinical shadowing is also possible throughout the hospital. Current projects include: digital phenotyping in smartphone usage for patients with psychosis, developing and testing a smartphone application platform for mental health used in the US, India, and Canada, and digital phenotyping for child psychiatry. For more information, visit our team's website at https://www.digitalpsych.org. Please email Dr. Torous at jtorous@bidmc.harvard.edu


Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. K23MH116130 (TOROUS, JOHN) Apr 1, 2018 - Mar 31, 2022
    NIH
    Digital Phenotyping for Computational Models of Relapse Prediction in Early Course Psychosis
    Role: Principal Investigator

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.