Rate My Professor Eric Xing

Eric Xing is the President and University Professor in Artificial Intelligence at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a role he assumed in January 2021. He concurrently holds professorships in the Machine Learning Department, Language Technology Institute, and Computer Science Department at Carnegie Mellon University (CMU), where he joined the faculty in September 2004 as an assistant professor, advancing to associate professor in 2009 and full professor in 2014. Additional leadership roles at CMU include Associate Department Head of Research in the Machine Learning Department since 2016 and Founding Director of the Center for Machine Learning and Health from 2015 to 2016. His earlier career featured visiting positions as associate professor in Stanford University's Department of Statistics and research professor at Facebook Inc., both from 2010 to 2011. Xing's academic credentials comprise a B.Sc. in Physics from Tsinghua University (1993), M.Sc. in Computer Science from Rutgers University (1998), Ph.D. in Molecular Biology and Biochemistry from Rutgers University (1999), and Ph.D. in Computer Science from the University of California, Berkeley (2004).

Professor Xing's main research interests lie in machine learning and statistical methodology, alongside large-scale computational systems and architectures for automated learning, reasoning, and decision-making in high-dimensional, multimodal, dynamic environments across artificial, biological, and social systems. Key recent advancements encompass foundation models and open-source efforts like LLM360, Vicuna, and JAIS; world models including PAN and K2-Think; and AI-for-science initiatives such as the Institute for Foundation Models, AI-Driven Digital Organisms (AIDO), and large-scale biological models like GET. He has earned distinguished recognitions including Fellow of the Association for the Advancement of Artificial Intelligence (2016), Institute of Electrical and Electronics Engineers (2019), Association for Computing Machinery (2022), and American Statistical Association (2022); the National Science Foundation CAREER Award (2006); Alfred P. Sloan Research Fellowship (2008); United States Air Force Office of Scientific Research Young Investigator Award (2010); and multiple best paper awards at conferences such as USENIX OSDI (2021), ACL (2016, 2009), ACM SoCC (2015), and ISMB (2011). Author or co-author of over 400 publications with more than 94,000 citations, standout works include "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena" (NeurIPS 2023), "Vicuna: An Open-Source Chatbot Impressing GPT-4" (2023), "Distance Metric Learning with Application to Clustering with Side-Information" (NeurIPS 2002), and "Theoretically Principled Trade-off between Robustness and Accuracy" (ICML 2019). Xing's influence extends to leadership as ICML Co-Program Chair (2014) and General Chair (2019), board member of the International Machine Learning Society, and speaker at the World Economic Forum in Davos. He co-founded Petuum Inc. (2016) and GenBio AI (2024).