Al Rahrooh

Al Rahrooh is a Ph.D. candidate in the Medical Informatics Program at UCLA, specializing in the innovative applications of artificial intelligence (AI) and computational modeling to develop clinically impactful diagnostic tools tailored to individual patient needs. His research aims to build quantitative frameworks that enhance trust in AI, addressing the pivotal challenge of seamlessly translating AI models from experimental development to practical, real-world clinical applications. He is involved in implementation science, reproducibility, robustness, generalizability, and interoperability efforts, advancing explainable AI and evaluating machine learning (ML) models. As part of the PREMIERE initiative, he contributes to setting industry standards and frameworks that support the safe and effective integration of AI in healthcare via model archetypes. 

Prior to joining UCLA, Al graduated summa cum laude as the #1 student in his class from the University of Central Florida, earning a B.S. in Biomedicine with a minor in Political Science. During his undergraduate studies, Al led research focused on utilizing ML algorithms and statistical classification to reduce and extract information from EEG motion artifact data, successfully predicting walking speed. While still an undergraduate, Al co-founded LeNgineer, an R&D company that went on to secure NASA’s prestigious Small Business Innovation Research (SBIR) funding. This achievement made him one the youngest recipients of the award. His work at LeNgineer played a key role in developing AI tools to automate NASA’s next-generation human spaceflight systems, contributing to advancements in space exploration 

LinkedIn: www.linkedin.com/in/al-rahrooh

ORCID: 0000-0003-1451-6940