Prateek Prasanna

Prateek Prasanna is an Assistant Professor in the Department of Biomedical Informatics at Stony Brook University, holding a joint appointment in the School of Medicine and College of Engineering and Applied Sciences. He directs the Imaging Informatics for Precision Medicine (IMAGINE) Lab, which develops clinically translatable AI tools for medical decision-making.

Education

• Ph.D. in Biomedical Engineering, Case Western Reserve University
• M.S. in Electrical and Computer Engineering, Rutgers University
• B.Tech. in Electrical and Electronics Engineering, National Institute of Technology Calicut

Research Focus

Dr. Prasanna's research bridges human and machine interpretation of medical images through four key thrusts:

• Computational Biomarkers: Radiomics/pathomics techniques for predicting cancer treatment response
• Generative AI: Disease-aware medical image synthesis using clinical insights
• Adaptive Learning: Meta-learning frameworks for domain generalization
• Explainable AI: Human-in-the-loop systems for interpretable diagnostics

Publication Trends

Recent work (2020-2023) demonstrates strong emphasis on oncology (lung/breast/brain cancers) and ophthalmology applications, with consistent focus on multi-modal data integration, deep learning architectures, and clinical validation of AI biomarkers across radiology/pathology domains.

Awards

• Most Cited Paper Award 2017 from European Radiology
• COVID-19 research seed funding from OVPR/IEDM (2020)

Lab Activities

The IMAGINE Lab seeks MS/PhD/PostDoc candidates with ML/computer vision expertise. Current projects include NIH-funded development of immunotherapy response predictors and generative models for rare disease simulation.