Ian J. Barnett, Ph.D.

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Assistant Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology
Graduate Group Affiliations

Contact information
Division of Biostatistics
Department of Biostatistics, Epidemiology, and Informatics
University of Pennsylvania Perelman School of Medicine
212 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
Office: 650-799-7868
B.S. (Mathematical and Computational Sciences)
Stanford University, Stanford, CA, 2010.
Ph.D. (Biostatistics)
Harvard University T.H. Chan School of Public Health, Boston, MA, 2014.
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Selected Publications

Barnett, Ian; Malik, Nishant; Kuijjer, Marieke; Mucha, Peter; Onnela, Jukka-Pekka: Feature-Based Classification of Networks. Network Science May 2019 Notes: In press.

Torous, John and Ungar, Lyle and Barnett, Ian: Expanding, Augmenting, and Operationalizing Ethical and Regulatory Considerations for Using Social Media Platforms in Research and Health Care. American Journal of Bioethics Page: 4-6, May 2019.

David M Lydon-Staley, Ian Barnett, Theodore D Satterthwaite, Danielle S Bassett: Digital phenotyping for psychiatry: Accommodating data and theory with network science methodologies. Current Opinion in Biomedical Engineering 9(1): 8-13, Mar 2019.

Cote David J, Barnett Ian, Onnela Jukka-Pekka, Smith Timothy R: Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life. World neurosurgery Feb 2019.

Barnett Ian, Torous John: Ethics, Transparency, and Public Health at the Intersection of Innovation and Facebook's Suicide Prevention Efforts. Annals of internal medicine Page: 565-566, Feb 2019.

Barnett Ian, Torous John, Staples Patrick, Keshavan Matcheri, Onnela Jukka-Pekka: Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association 25(12): 1669-1674, Dec 2018.

Barnett Ian, Onnela Jukka-Pekka: Inferring mobility measures from GPS traces with missing data. Biostatistics Page: 1-15, Oct 2018.

Barnett Ian, Torous John, Staples Patrick, Sandoval Luis, Keshavan Matcheri, Onnela Jukka-Pekka: Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology 43(8): 1660-1666, July 2018.

Torous John, Larsen Mark E, Depp Colin, Cosco Theodore D, Barnett Ian, Nock Matthew K, Firth Joe: Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps. Current psychiatry reports 20(7): 51, Jun 2018.

Torous, J., Staples, P., Barnett, I., Sandoval, L., Keshavan, M., Onnela, J.: Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia and mental health. NPJ Digital Medicine 1(1): 1-15, Apr 2018.

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Last updated: 06/04/2019
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