Seunghak Lee (이승학)


Recently, I moved to Human Longevity, Inc, as a research scientist. Prior to that, I was a project scientist in the Machine Learning Department at Carnegie Mellon University, working with Prof. Eric P. Xing. I received my Ph.D. in Computer Science Department at Carnegie Mellon University, M.Sc. in Computer Science at the University of Toronto, and B.S. in Chemistry and Computer Science and Engineering at POSTECH.

My research interests include computational biology and machine learning. I am interested in integrative approaches to the analysis of genetic and biomedical datasets, genome-wide association studies, visual analytics, distributed optimization, and large-scale machine learning algorithms and systems.


  • Aug 2015: I joined Human Longevity, Inc as a research scientist.

  • Mar 2015: I joined Machine Learning Department at CMU as a project scientist.

  • Feb 2015: I obtained my Ph.D. in Computer Science Department at CMU.


  • Petuum: large-scale distributed machine learning framework. This software contains our works for parameter server and scheduler.

Selected Publication

Conference Papers

  • J. Kim, Q. Ho, S. Lee, X. Zheng, W. Dai, G. Gibson, E. P. Xing, STRADS: A Distributed Framework for Scheduled Model Parallel Machine Learning, To appear in The European Conference on Computer Systems (EuroSys 2016)

Journal Papers

  • E. P. Xing, Q. Ho, W. Dai, J. Kim, J. Wei, S. Lee, X. Zheng, P. Xie, A. Kumar, Y. Yu, Petuum: A New Platform for Distributed Machine Learning on Big Data, IEEE Transactions on Big Data, 2015

  • S. Lee, A. Lozano, P. Kambadur, and E. P. Xing, An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations, Journal of Computational Biology (RECOMB 2015 Special Issue), 2015


Selected Manuscripts