Samprit Banerjee

Dr. Samprit Banerjee is an Associate Professor at Weill Cornell Medicine within the Department of Population Health Sciences. He holds affiliations with the Graduate School of Medical Sciences and collaborates with institutions like the Institute of Geriatric Psychiatry and ALACRITY Research Center. His research focuses on developing statistical methods for mental health using mHealth data (smartphones, wearables) and large datasets like EHRs. He earned his BStat and MStat from the Indian Statistical Institute and his PhD in Biostatistics from the University of Alabama, Birmingham.

Education:

• BStat, Indian Statistical Institute, Kolkata, India
• MStat, Indian Statistical Institute, Kolkata, India
• PhD in Biostatistics, University of Alabama, Birmingham

Research Interests:

• Digital phenotyping and interventions using mHealth sensors
• Prediction models for health outcomes (e.g., depression relapse, stress detection)
• Randomized clinical trials in geriatric mental health
• Machine learning applications in healthcare analytics
• Big data integration from EHRs and claims databases

His lab pioneered open-source tools for analyzing longitudinal mHealth data and collaborates on interventions for older adults with depression, psychosis, and bipolar disorder.

Key Projects include:

• Psychotherapy adherence prediction via passive data sensing
• Stress detection algorithms for chronic pain patients
• Geography-based risk stratification for suicidal ideation

His work bridges statistical methodology with clinical practice, emphasizing precision medicine and health equity through predictive analytics.