Professor Eric P. Xing is the President of the Mohamed bin Zayed University of Artificial Intelligence, Professor of Computer Science at Carnegie Mellon University, and Co-Founder and Chief Scientist of GenBio AI. His main research interests are the development of machine learning and statistical methodology, and large-scale computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in artificial, biological, and social systems.

Xing has served on the editorial boards of leading scientific journals including the Journal of the American Statistical Association, Annals of Applied Statistics, PLOS Journal of Computational Biology, IEEE Journal of Pattern Analysis and Machine Intelligence, Machine Learning Journal, and Journal of Machine Learning Research. He was elected Fellows AAAI, ACM, ASA, IEEE, and IMS.

Salma Hassan graduated with a Bachelor’s degree in Computer Engineering from the American University in Sharjah. During her undergraduate studies, the Egyptian native developed an interest in and aptitude for artificial intelligence (AI). She took elective courses in machine learning and deep learning before joining MBZUAI in 2023. She soon became passionate about applying machine learning in healthcare to build AI solutions that address real clinical needs and improve patient outcomes through data-driven insights.

Hassan received the honor of being named the Class of 2025 valedictorian for her academic excellence during her M.Sc. in Machine Learning and research contributions for AI medical applications, focusing on neurodegenerative diseases like Alzheimer’s.

Professor Eric P. Xing is the President of the Mohamed bin Zayed University of Artificial Intelligence, Professor of Computer Science at Carnegie Mellon University, and Co-Founder and Chief Scientist of GenBio AI. His main research interests are the development of machine learning and statistical methodology, and large-scale computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in artificial, biological, and social systems.

Xing has served on the editorial boards of leading scientific journals including the Journal of the American Statistical Association, Annals of Applied Statistics, PLOS Journal of Computational Biology, IEEE Journal of Pattern Analysis and Machine Intelligence, Machine Learning Journal, and Journal of Machine Learning Research. He was elected Fellows AAAI, ACM, ASA, IEEE, and IMS.

Salma Hassan graduated with a Bachelor’s degree in Computer Engineering from the American University in Sharjah. During her undergraduate studies, the Egyptian native developed an interest in and aptitude for artificial intelligence (AI). She took elective courses in machine learning and deep learning before joining MBZUAI in 2023. She soon became passionate about applying machine learning in healthcare to build AI solutions that address real clinical needs and improve patient outcomes through data-driven insights.

Hassan received the honor of being named the Class of 2025 valedictorian for her academic excellence during her M.Sc. in Machine Learning and research contributions for AI medical applications, focusing on neurodegenerative diseases like Alzheimer’s.