Naif A. Ganadily

About Me

I am Naif A. Ganadily, a Ph.D. student in the Biomedical Informatics and Data Science program at Arizona State University (ASU). I am working as a graduate research associate and AI Research Intern at Mayo Clinic under the supervision of Dr. Irbaz Riaz (ASU/Mayo Clinic) and Prof. Li Liu.

Before starting my PhD at ASU, I completed my Master’s degree in Electrical Engineering (Machine Learning & Data Science) at the University of Washington in 2024, where I worked with Prof. Stan Birchfield and collaborated with NVIDIA on computer vision and synthetic data generation research. Prior to that, I completed my undergraduate degree in Electrical Engineering from the University of Business and Technology in Jeddah, Saudi Arabia in 2021.

I am interested in Explainable AI, Large Language Models (LLMs), Generative AI applications in healthcare, AI-driven clinical decision support systems, Privacy-Preserving Machine Learning, and Computer Vision. My current research focuses on developing LLM and rule-based systems for hematology oncology and creating pipelines to automatically identify Major Adverse Cardiac Events (MACE) in clinical notes.

What I’ve Been Up To

At Mayo Clinic, I’m working on:

• Developing LLM + rule-based systems for Hematology Oncology clinical decision support
• Creating pipelines to identify MACE events in oncology patient notes (RCC notes)
• Transitioning to a Graduate Research Associate role under Prof. Riaz

I also write about AI and machine learning on Medium, where I’ve published articles explaining complex AI concepts like Graph of Thoughts prompting for large language models.

I am fluent in English and Arabic, and hold dual citizenship in the USA and Saudi Arabia.