Entrance to building with a bicycle and blooming tulips

Aarti Sathyanarayana


Assistant Professor

Public Health and Health Sciences

Research Interests

Digital health, wearable devices, digital phenotyping, digital biomarker discovery


Dr. Aarti Sathyanarayana’s research strives to improve human health and performance through digital phenotyping and biomarker discovery. She aims to translate enigmatic digital health data collected from smartphones, wearables, and biomedical devices, into actionable insights for clinical care and personal wellness. Her work has developed new signal processing and machine learning algorithms for time variant health data analysis. In addition to her role at Northeastern, Dr. Sathyanarayana also holds appointments in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, and the Clinical Data Animation Center at Massachusetts General Hospital and Harvard Medical School.

Dr. Sathyanarayana received her PhD in Computer Science from the University of Minnesota, where her dissertation was selected for the university’s Doctoral Dissertation Award. Since then, her work has won multiple junior investigator awards from the National Center of Women and Information Technology, the American Medical Informatics Association, the American Epilepsy Society, and the American Clinical Neurophysiology Society. Her expertise has also led her to hold positions at Apple, Intel, the Mayo Clinic, and Boston Children’s Hospital.

Selected Publications

Sathyanarayana, Aarti, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Teresa Arora, and Shahrad Taheri. “Sleep Quality Prediction From Wearable Data Using Deep Learning.” JMIR mHealth and uHealth 4, no. 4 (2016)

Sathyanarayana, Aarti, Luis Fernandez-Luque, Jaideep Srivastava. “The Science of Sweet Dreams: Wearable Devices and Sleep Medicine.” IEEE Computer Magazine (March 2017)

Sathyanarayana, Aarti, Rima El Atrache, Michele Jackson, Aliza Alter, Kenneth Mandl, Tobias Loddenkemper, William Bosl. “Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes.” Scientific Reports (2020)

Sathyanarayana, Aarti, Rima El Atrache, Michele Jackson, Kenneth Mandl, Tobias Loddenkemper, William Bosl. “Measuring the Effects of Sleep on Epileptogenicity with Multiscale Entropy.” Clinical Neurophysiology 132.9 (2021)

Personal Website