David Kreindler
Research Assistant:
Dr. Kreindler’s primary research interest is the application of physics and cognitive science to psychiatry to better understand the origin of psychiatric illness – in particular, mood disorders. He has been working on characterizing mood dynamics, drawing on developments in nonlinear dynamics (Mainzer 1996), fractal geometry (Mandelbrot 1982), self-organized criticality (Bak 1996; Jensen 1998), and time series dynamics (Sardà-Espinosa, 2019) to illuminate the mechanisms that underpin mood. This approach is uniquely relevant to child and adolescent mood disorders as well as mood disorders across the rest of the lifespan since it approaches mood as a dynamic process embedded in time. His other research interests are the application of information technology to clinical psychiatry, with specific interests in the use of technology for mood measurement. He maintains an active interest in data security issues as applied to clinical practice.
Education
- B.Sc., 1988, Astronomy and Physics Specialist, University of Toronto, Canada
- MD, 1995, Medicine, University of Cincinnati College of Medicine, USA
Appointments & Affiliations
- Associate scientist, Evaluative Clinical Sciences, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute
- Head, Division of Youth Psychiatry, Department of Psychiatry, Sunnybrook Health Sciences Centre
- Assistant professor, Department of Psychiatry, U of T
Research Foci
- Mobile computing in mental health
- Nonlinear dynamics in psychiatric illness
Affiliated Labs & Programs
Selected Publications
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Qian Y, Solano MJ, Kreindler D. Grouping of mood symptoms by time series dynamics. J Affect Disord. 2022 Jul 15;309:186-192. doi: 10.1016/j.jad.2022.04.117. Epub 2022 Apr 22. PMID: 35461820
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Tang W, Kreindler D. Supporting Homework Compliance in Cognitive Behavioural Therapy: Essential Features of Mobile Apps. JMIR Ment Health. 2017 Jun 8;4(2):e20. doi: 10.2196/mental.5283. PMID: 28596145; PMCID: PMC5481663.
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Schaffer A, Kreindler D, Reis C, Levitt AJ. Use of mental health telemetry to enhance identification and predictive value of early changes during augmentation treatment for major depression. J Clin Psychopharmacol. 2013 Dec;33(6):775–81.
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Romans SE, Kreindler D, Asllani E, Einstein G, Laredo S, Levitt A, Morgan K, Petrovic M, Toner B, Stewart DE. Mood and the menstrual cycle. Psychother Psychosom. 2013;82(1):53–60.
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Kreindler D, Lumsden CJ, Levitt A, Woolridge N. Portable mood mapping: the validity and reliability of analog scale displays for mood assessment via hand held computer. Psychiatry Res. 2003 Sep; 120(2):165–177.