Subhosit Ray, Ph.D.

Subhosit Ray, Ph.D.

Email: rays2016@fau.edu

Mentor: David Newman

Affiliation: Christine E. Lynn College of Nursing

Subhosit Ray, Ph.D., is a postdoctoral fellow at the Florida Atlantic University Christine E. Lynn College of Nursing. Previously, he was a graduate research assistant with researchers Debarshi Datta, Ph.D., postdoctoral fellow, David Newman, Ph.D., professor, Laurie Martinez, Ph.D., assistant professor, Maria Ortega, Ph.D., associate dean of clinical practice and professor, all of the College of Nursing, as well as Safiya George, Ph.D., former dean of the college and now president of the University of the Virgin Islands.

As a graduate research assistant, Ray contributed in the COVID-19 predictive analysis using explainable machine learning for feature identification of risk factors associated with mortality and disease severity, led Datta as a principal investigator. Ray was also part of the New Horizons ADRD Seed Funding Research Grant for 2023, where he collaborated with Datta for its initial conceptualization and development.

In addition, he helped in two recent grant submissions led by Datta, including the All of Us Research Program Grant and Healthcare Research Seed Funding opportunity at the Center for Sensing, Monitoring, Analytics, Remote and Technology (SMART) Health in the data analytics track.

Currently, Ray is working with Newman where he hopes to bring his expertise in developing deep learning architectures and reinforcement learning algorithms to make insightful contributions to healthcare.

Before joining nursing, he was a doctoral student in the Department of Psychology, Charles E. Schmiodt College of Medicine. His doctoral dissertation titled Topological Reinforcement Learning with Graph Cellular Automata, tackled the problem of over-parametrization with novel deep-learning methods based on graph rewiring methods. Ray also has extensive experience in experimental design and time series analysis from his master's thesis work, where he investigated the dynamics and mechanisms of the cyclical nature of spatial and object-based attention. He said he is excited to use his skills to contribute in the improvement of healthcare and nursing with new research findings.