2024

  • Daniel A Adler, Caitlin A. Stamatis, Jonah Meyerhoff, David C. Mohr, Fei Wang, Gabriel J. Aranovich, Srijan Sen, and Tanzeem Choudhury. Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk using smartphone sensed-behavioral data. Accepted to be published in npj Mental Health Research.
  • Angel H-C Hwang, Daniel A Adler, Meir Friedenberg, and Qian Yang. Societal-Scale Human-AI Interaction Design? How Hospitals and Companies are Integrating Pervasive Sensing into Mental Healthcare. Accepted to the 2024 ACM conference on Computer-Human Interaction (CHI). Accepted Version.
  • Yuewen Yang*, Thalia Viranda*, Daniel A. Adler, Anna R. Van Meter, and Tanzeem Choudhury. Exploring Opportunities to Augment Psychotherapy with Language Models. Accepted as a late breaking work to the 2024 ACM conference on Computer-Human Interaction (CHI). *These authors contributed equally to this research.

2023

  • Jodie Nghiem*, Daniel A Adler*, Deborah Estrin, Cecilia Livesey, and Tanzeem Choudhury. 2023. Understanding mental health clinicians’ perceptions and concerns regarding using passive patient-generated health data for clinical decision making: a qualitative, semi-structured interview study. JMIR Formative Research 7, 1: e47380. *These authors contributed equally to this research. PDF.
  • Daniel A Adler, Xuhai Xu, Varun Mishra, et al. 2023. 8th International Workshop on Mental Health and Well-being: Sensing and Intervention. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC ’23 Adjunct). Accepted Version.
  • Neha Manjunath*, Ze Yuan Li*, Eunsol Soul Choi*, Srijan Sen, Fei Wang, and Daniel A. Adler. 2023. Can data augmentation improve daily mood prediction from wearable data? An empirical study. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC ’23 Adjunct) (accepted). *These authors contributed equally to this research. Accepted Version.

2022

  • Daniel A Adler*, Emily Tseng*, Khatiya C Moon, John Q Young, John M Kane, Emanuel Moss, David C Mohr, and Tanzeem Choudhury. 2022. Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2: 48. *These authors contributed equally to this research. PDF. Link to YouTube Talk.
  • Varun Mishra, Akane Sano, Sahiti Kunchay, et al. 2022. 7th International Workshop on Mental Health and Well-being: Sensing and Intervention. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, Association for Computing Machinery, 468–471. PDF
  • Daniel A. Adler, Fei Wang, David C. Mohr, and Tanzeem Choudhury. 2022. Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies. PLOS ONE 17, 4: e0266516. PDF
  • Daniel A. Adler, Fei Wang, David C. Mohr, Deborah Estrin, Cecilia Livesey, and Tanzeem Choudhury. 2022. A call for open data to develop mental health digital biomarkers. BJ Psych Open 8, 2: e58. PDF. Link to YouTube Talk.
  • Lisa Militello, Michael Sobolev, Fabian Okeke, Daniel A. Adler, and Inbal Nahum-Shani. 2022. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Form Res 6, 3: e30606.  PDF

2021

  • Daniel A. Adler, Vincent W.-S. Tseng, Gengmo Qi, Joseph Scarpa, Srijan Sen, and Tanzeem Choudhury. 2021. Identifying Mobile Sensing Indicators of Stress-Resilience. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 2: 51:1-51:32. PDF, Appendix. Link to YouTube Talk.

2020

  • Daniel A. Adler, Dror Ben-Zeev, Vincent W.-S. Tseng, et al. 2020. Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks. JMIR mHealth and uHealth 8, 8: e19962. PDF
  • S. K. Kang, S. Ammanuel, Daniel A. Adler, and S. D. Kadam. 2020. Rescue of PB-resistant neonatal seizures with single-dose of small-molecule TrkB antagonist show long-term benefits. Epilepsy Research 159: 106249. PDF

2018

  • S. K. Kang, S. Ammanuel, S. Thodupunuri, Daniel A. Adler, M. V. Johnston, and S. D. Kadam. 2018. Sleep dysfunction following neonatal ischemic seizures are differential by neonatal age of insult as determined by qEEG in a mouse model. Neurobiology of Disease 116: 1–12. PDF

2015

  • Simon Ammanuel, Wesley C. Chan, Daniel A. Adler, et al. 2015. Heightened Delta Power during Slow-Wave-Sleep in Patients with Rett Syndrome Associated with Poor Sleep Efficiency. PLOS ONE 10, 10: e0138113. PDF

2014

  • Daniel A. Adler, S. Ammanuel, J. Lei, et al. 2014. Circadian cycle-dependent EEG biomarkers of pathogenicity in adult mice following prenatal exposure to in utero inflammation. Neuroscience 275: 305–313. PDF