Firas Darwish earned his Computer Engineering undergraduate degree at NYU Abu Dhabi, where he worked at the Center for Artificial Intelligence and Robotics. His research projects ranged from reducing the cost of wearable hand gesture recognition, to designing methods for enriching chest X-ray representations with EHR data, to exploring uncertainty quantification in healthcare AI. He has also taught on the UAE National Program for AI and completed software engineering and machine learning internships at technology companies in Abu Dhabi.
Firas believes that trust in AI depends on our ability to devise human-interpretable interfaces that reveal how these systems make decisions. As a UAE Rhodes Scholar on the StatML program, he aims to explore how uncertainty quantification and mechanistic interpretability can advance AI alignment and safety.
