I am Ali Kargarandehkordi, PhD, Director of Digital Biomarkers in the Division of Digital Psychiatry at BIDMC/Harvard Medical School. My work focuses on digital phenotyping, wearable sensing, and personalized machine learning for mental health and behavioral health.
Smartphone and wearable data in everyday settings.
Models designed around meaningful within-person variation.
Turning passive sensing into interpretable, actionable tools.
My research combines longitudinal mobile sensing, ecological momentary assessment, and machine learning to understand changes in behavior and health at the individual level.
Studying when person-specific models outperform pooled approaches and how models can adapt under sparse, heterogeneous longitudinal data.
Building end-to-end sensing workflows and research tools that connect data collection, quality assessment, modeling, and clinical interpretation.
Z. N. Tumpa, M. R. S. Zawad, L. Sollis, S. Parab, P. Azizian, M. Honarmand, A. Kargarandehkordi, et al.
A. Kargarandehkordi, A. Jaiswal, A. Banerjee, Y. Qian, C. R. Slade, Y. Sun, et al.
A. Kargarandehkordi, S. Li, K. Lin, K. T. Phillips, R. M. Benzo, P. Washington
Y. Qian, A. Kargarandehkordi, Y. Sun, P. Azizian, O. C. Mutlu, et al.
Personalized modeling of stress and near-term blood pressure elevation using wearable and EMA data.
View project → DIGITAL PHENOTYPINGSmartphone and wearable sensing pipelines for detecting clinically meaningful changes over time.
View research → PERSONALIZED MLSelf-supervised and person-specific learning from wearable biosignals and ecological momentary assessments.
View project →I earned my PhD in Computer Science from the University of Hawaiʻi at Mānoa, where my dissertation centered on personalized machine learning for digital health. Before that, I completed an MSc in Information and Communication Technology — Smart Systems at the University of Turku in Finland.
My current work in Boston focuses on developing methods and infrastructure for clinically grounded digital biomarkers and adaptive mental health technologies.
Full CV →