The general research interests of the lab are in the areas of oncology bioinformatics, artificial intelligence, machine learning algorithms, multimodality image analysis, and treatment outcome modeling. Dr. El Naqa operates at the interface of physics, biology, and engineering. The primary motivation is to design and develop novel approaches to unravel cancer patients’ tumor and normal tissue responses to treatment by synthesizing knowledge from physical, biological, and imaging information into advanced computational models using top-down (machine learning) and bottom-up (first principles) techniques and evaluate their performance in clinical and preclinical settings. These models could be then used to personalize cancer patients’ treatment, help understand the underlying biological response to disease, and optimize clinical decision making. These research interests involve three broad themes: bioinformatics and outcome modeling of radiation response (radiogenomics). multimodality image analysis (radiomics), medical physics (radiation dosimetry).
Machine Learning Department
Stabile Research Building (SRB)
Tampa, FL 33612
Email: Machine Learning Department