Samprit Banerjee is an Associate Professor at Weill Cornell Medicine's Division of Biostatistics. He holds a Bachelor's and Master's degree in Statistics from the Indian Statistical Institute in Kolkata and a PhD in Biostatistics from the University of Alabama at Birmingham. Since joining Weill Cornell in 2008, he has engaged in numerous biomedical collaborations, focusing on a range of randomized clinical trials, observational cohort studies, comparative effectiveness research, and the analysis of mobile health (mHealth) data obtained from smartphones and wearables. His research emphasizes the application of statistical and machine learning methods to improve mental health outcomes through innovative digital interventions tailored for specific populations. He has developed frameworks and software dedicated to handling large longitudinal datasets in natural environments, aiming to accelerate treatment optimization and enhance clinical outcomes for older adults dealing with depression, psychosis, and bipolar disorder. Banerjee's work has included the development of predictive models and the use of passive sensing data to assess real-time fluctuations in daily functioning, which further informs psychotherapy and treatment strategies. He has been involved in significant projects that leverage technology to improve psychosocial interventions and decrease cognitive decline in older adults affected by mental health issues.
Weill Cornell Medicine • New York, NY
Contributing to research in biostatistics, focusing on innovative methodologies in health outcomes and digital health.