Pratip Rana

Pratip Rana is an Assistant Professor at Old Dominion University, specializing in interdisciplinary research at the intersection of machine learning, bioinformatics, and healthcare. His work focuses on developing advanced computational methods for medical diagnosis, cancer subtyping, and multiomics data analysis. He has contributed to projects involving LiDAR data generation, drug-target affinity prediction, and physics-informed neural networks for fluid flow modeling.

Research interests include applying AI to healthcare challenges (e.g., TBI prediction, radiotherapy structure identification), modeling protein aggregation in neurodegenerative diseases (e.g., Alzheimer’s), and designing nanomaterials for gas sensing applications. His recent publications emphasize multimodal deep learning, feature selection for cancer classification, and synergy between machine learning and constraint-based biological models.

His articles highlight contributions to medical AI, computational biology, and materials science. No scientific awards are listed, though his work reflects strong interdisciplinary innovation. Advising and grant details are not explicitly provided in the text.