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Eric P. Xing,  PhD, PhD

8101 Gates-Hillman Center (GHC), SCS
Carnegie Mellon University
Pittsburgh, PA 15213

Phone: (412) 268-2559
Fax: (412) 268-3431
Email: epxing AT

Picture of Wean Hall

Biography Publications Research Teaching Activities/Talks My Group CV


Machine Learning Department
Language Technology Institute & Computer Science Department & Computational Biology Department
School of Computer Science
Carnegie Mellon University

Co-Founder of Petuum

Research synopsis: My principal research interests lie in the development of machine learning and statistical methodology, and large-scale computational system and architecture, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.

Current Students and Postdocs:

Past Students and Postdocs:

  • Amr Ahmed, Research Scientist, Google
  • Ross Curtis, Software Engineer, AncestryDNA
  • Wei Dai, Senior Director of Engineering, Petuum Inc.
  • Jacob Eisenstein, Assistant Professor, Georgia Institute of Technology
  • Wenjie Fu, Software Engineer, Facebook
  • Anuj Goyal, Software Engineer, LinkedIn
  • Steve Hanneke, Visiting Assistant Professor, Carnegie Mellon University
  • Kamisetty Hetunandan, Research Scientist, Facebook
  • Qirong Ho, Scientist, A*STAR, Singapore; VP Engineering, Petuum Inc.
  • Judie Howrylak, Assistant Professor, Penn State University
  • Gunhee Kim, Assistant Professor, Seoul National University
  • Abhimanu Kumar, Senior Research Engineer, LinkedIn
  • Seyoung Kim, Assistant Professor, Carnegie Mellon University
  • Mladen Kolar, Assistant Professor, University of Chicago
  • Seunghak Lee, Research Scientist, Human Longevity Inc.
  • Xiaodan Liang, Assistant Professor, Zhongshan University
  • Andre Martins, Research Scientist, Priberam Labs and Instituto Superior Técnico
  • Ankur Parikh, Research Scientist, Google
  • Kriti Puniyani, Research Scientist, Google
  • Pradipta Ray, Research Scientist, University of Taxes Dallas
  • Suyash Shringarpure, Postdoctoral researcher, Stanford University
  • Kyung-Ah Sohn, Assistant Professor, Ajou University
  • Le Song, Assistant Professor, Georgia Institute of Technology
  • Chong Wang, Research Scientist, Microsoft Research
  • Sinead Williamson, Assistant Professor, University of Texas Austin
  • Andrew Wilson, Assistant Professor, Cornell Unicersity
  • Pengtao Xie, Senior Director of Engineering, Petuum Inc.
  • Junming Yin, Assistant Professor, University of Arizona
  • Yaoliang Yu, Assistant Professor, University of Waterloo
  • Bin Zhao, Co-founder and CEO of PanOptus
  • Bing Zhao, Research Scientist, SRI
  • Jun Zhu, Associate Professor, Tsinghua University

Recent Activities:

In 2016, I founded Petuum Inc. to pursue standardization and industrialization of general-purpose AI platform and building blocks. I have been serving as CEO and Chief Scientist of Petuum, which was recognized as a Technology Pioneer by the World Economic Forum in 2018.

Research and Development:

  • On December 25th, 2013, we made an initial open-source release of Petuum, a new framework for distributed machine learning with massive data, big models, and a wide spectrum of algorithms. Updates on Petuum are released every three months. The latest release (version 1.1) was made in July, 2015.


  • Video lectures of Probabilistic Graphical Models (10708), made in Spring 2014.
  • I am teaching Graduate Machine Learning (10701) again in Fall 2016, with Prof. Matt Gormley .
  • In Fall 2014, I taught Advanced Machine Learning (10715), a newly created required course for ML Ph.D. students, with Prof. Barnabas Poczos. Previously I taught Graduate Machine Learning (10701), which is now a general Ph.D.-level intro. ML for CMU students from all majors.


  • "A New Look at the System, Algorithm and Theory Foundations of Distributed Machine Learning" [slides], with Dr. Qirong Ho at the 21st ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2015).

  • "Big ML Software for Modern ML Algorithms" [slides], with Dr. Qirong Ho at the 2014 IEEE International Conference on Big Data (IEEE BigData 2014).

  • "Topic Models, Latent Space Models, Sparse Coding, and All That: A systematic understanding of probabilistic semantic extraction in large corpus" [slides], at the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).

  • "Modern Statistical Methods for Genetic Association Study: Structured Genome-Transcriptome-Phenome Association Analysis" [slides], With Dr. Seyoung Kim, at the Nineteenth International Conference on Intelligence Systems for Molecular Biology (ISMB 2011).


  • Board Member, The International Machine Learning Society .
  • Program Committee Chair, ICML 2014.
  • General Chair, ICML 2019.
  • Action Editor/Associate Editor: JASA, AOAS, JMLR, MLJ, and PAMI.

  • Last updated 06/01/2014