Professor Eric Xing is the President and University Professor of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a Professor of Computer Science at Carnegie Mellon University and co-Founder and Chief Scientist at Genbio AI. His main research interests are the development of machine learning and statistical methodology, and large-scale distributed computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in artificial, biological, and social systems. In recent years, he has been focusing on building large language models, world models, agent models, and foundation models for biology.

Professor Xing has served on the editorial boards of several leading journals including JASA, AOAS, JMLR; was a recipient of several awards including NSF Career, Sloan, Carnegie Science Award, and best papers in conferences such as ACL, ISMB, NeurIPS, and OSDI; and is a fellow of several societies including AAAI, ACM, ASA, IEEE, IMS, and ISCB.

Part of the University’s inaugural cohort, Hanoona Bangalath earned both her M.Sc. (Class of 2022) and Ph.D. in Computer Vision (Class of 2026) at MBZUAI.

Her research focuses on developing interpretable multimodal models that integrate visual and language understanding for real-world AI tools across many sectors.

Even at this early stage of her career, she has built a stand-out publication record that is remarkably strong for a recent Ph.D. graduate with more than 5,800 citations.

Bangalath has published papers at prestigious venues including CVPR, ICCV, NeurIPS, and ICLR. Her works GLaMM and Video-ChatGPT are widely cited – helping to shape subsequent research in multimodal AI.

She accepted internships at Meta and Adobe in San Francisco, where she co-authored state-of-the-art models such as Perception Encoder (NeurIPS oral) and PerceptionLM (NeurIPS Spotlight), part of a broader body of research that has drawn wide attention for its quality and influence and generated more than 7.8 million downloads.

Her journey reflects both personal and institutional growth. She credits MBZUAI’s research-first environment and strong mentorship for shaping her into an independent researcher.

Despite opportunities in Silicon Valley, she will remain at MBZUAI as a postdoctoral researcher. She is committed to contributing globally while giving back to the UAE ecosystem that shaped her.

Professor Eric Xing is the President and University Professor of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a Professor of Computer Science at Carnegie Mellon University and co-Founder and Chief Scientist at Genbio AI. His main research interests are the development of machine learning and statistical methodology, and large-scale distributed computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in artificial, biological, and social systems. In recent years, he has been focusing on building large language models, world models, agent models, and foundation models for biology.

Professor Xing has served on the editorial boards of several leading journals including JASA, AOAS, JMLR; was a recipient of several awards including NSF Career, Sloan, Carnegie Science Award, and best papers in conferences such as ACL, ISMB, NeurIPS, and OSDI; and is a fellow of several societies including AAAI, ACM, ASA, IEEE, IMS, and ISCB.

Part of the University’s inaugural cohort, Hanoona Bangalath earned both her M.Sc. (Class of 2022) and Ph.D. in Computer Vision (Class of 2026) at MBZUAI.

Her research focuses on developing interpretable multimodal models that integrate visual and language understanding for real-world AI tools across many sectors.

Even at this early stage of her career, she has built a stand-out publication record that is remarkably strong for a recent Ph.D. graduate with more than 5,800 citations.

Bangalath has published papers at prestigious venues including CVPR, ICCV, NeurIPS, and ICLR. Her works GLaMM and Video-ChatGPT are widely cited – helping to shape subsequent research in multimodal AI.

She accepted internships at Meta and Adobe in San Francisco, where she co-authored state-of-the-art models such as Perception Encoder (NeurIPS oral) and PerceptionLM (NeurIPS Spotlight), part of a broader body of research that has drawn wide attention for its quality and influence and generated more than 7.8 million downloads.

Her journey reflects both personal and institutional growth. She credits MBZUAI’s research-first environment and strong mentorship for shaping her into an independent researcher.

Despite opportunities in Silicon Valley, she will remain at MBZUAI as a postdoctoral researcher. She is committed to contributing globally while giving back to the UAE ecosystem that shaped her.