Aakash Tripathi

Aakash Tripathi is a Ph.D. candidate at the University of South Florida and researcher at Moffitt Cancer Center, specializing in multimodal medical AI. With a background in Electrical and Computer Engineering from Rowan University, he works at the intersection of machine learning and oncology to improve cancer research and treatment outcomes. His research focuses on developing novel AI architectures for integrating complex medical data types, creating scalable frameworks for clinical applications, and advancing survival prediction models in oncology. Through his work, he aims to bridge the gap between computational advances and clinical practice, developing tools and methodologies that can be readily applied in healthcare settings. His contributions span time-series analysis, multimodal learning, and the development of machine learning approaches that can effectively process and analyze diverse types of medical data.