Eric Chi

  • Program Years: 2008-2011
  • Academic Institution: Rice University
  • Field of Study: Bioinformatics/Statistics
  • Academic Advisor: David Scott
  • Practicum(s):
    Lawrence Berkeley National Laboratory (2009)
    Sandia National Laboratories, California (2010)
  • Degree(s):
    Ph.D. Statistics, Rice University, 2011
    M.A. Statistics, Rice University, 2010
    M.S. Electrical Engineering, University of California, Berkeley, 2001
    B.A. Physics, Rice University, 1999

Current Status

  • Status: Assistant Professor, Dept of Statistics, North Carolina State University
  • Research Area: Statistics and Machine Learning
  • Personal URL:
  • Publications

    E.C. Chi, G.I. Allen, and R.G. Baraniuk, Convex Biclustering, Biometrics, 73(1):10-19, 2017.

    J.P. Long, E.C. Chi, and R.G. Baraniuk, Estimating a Common Period for a Set of Irregularly Sampled Functions with Applications to Periodic Variable Star Data, Annals of Applied Statistics, 10(1):165-197, 2016.

    J.T. Chi, E.C. Chi, and R.G. Baraniuk, k-POD: A Method for k-Means Clustering of Missing Data, The American Statistician, 70(1):91-99, 2016.

    E.C. Chi and K. Lange, Splitting Methods for Convex Clustering, Journal of Computational and Graphical Statistics, 24(4):994-1013, 2015.

    G.K. Chen, E.C. Chi, J.M.O Ranola, and K. Lange, Convex Clustering: An Attractive Alternative to Hierarchical Clustering, PLOS Computational Biology, 11(5): e1004228, 2015.

    E.C. Chi and K. Lange, Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties, Computational Statistics & Data Analysis, 80:117-128, 2014.

    E.C. Chi, H. Zhou, and K. Lange, Distance Majorization and Its Applications, Mathematical Programming Series A, 146:409-436, 2014.

    K. Lange, E.C. Chi and H. Zhou, A Brief Survey of Modern Optimization for Statisticians, International Statistical Review, 82(1):46-70, 2014.

    E.C. Chi and D.W. Scott, Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion, Journal of Computational and Graphical Statistics, 23(1):111-128, 2014.

    E.C. Chi and K. Lange, A Look at the Generalized Heron Problem through the Lens of Majorization-Minimization, The American Mathematical Monthly, 121(2):95-108, 2014.

    E.C. Chi, G.I. Allen, H. Zhou, O. Kohannim, K. Lange, and P.M. Thompson, Imaging genetics via sparse canonical correlation analysis, In IEEE Proceedings of ISBI 2013.

    E.C. Chi, H. Zhou, G.K. Chen, D. Ortega Del Vecchyo, and K. Lange, Genotype Imputation via Matrix Completion, Genome Research 23:509-518, 2013.

    E.C. Chi and T.G. Kolda, On Tensors, Sparsity, and Nonnegative Factorizations, SIAM Journal on Matrix Analysis and Applications 33(4):1272-1299, 2012.

    E.C. Chi, S.B. Mende, M-C. Fok, and G.D. Reeves, Proton auroral intensifications and injections at synchronous altitude, Geophysical Research Letters 33:6104, 2006.

    R. Gupta, E. Chi, and J. Walrand, Different Algorithms for Normal and Protection Paths, Journal of Network and Systems Management 13(1):13-33, 2005.

    E. Chi, M. Fu, and J. Walrand, Proactive Resource Provisioning, Computer Communications 27(12):1174-1182, 2004.

    R. Gupta, E. Chi, and J. Walrand, Sharing Normal Bandwidth During a Failure, Proceedings Seventh INFORMS Telecommunications Conference, Boca Raton, Florida, March 2004.

    R. Gupta, E. Chi, and J. Walrand, Different Algorithms for Normal and Protection Paths, Proceedings DRCN 2003, Banff, Canada, October 2003.

    E. Chi, M. Fu, and J. Walrand, Proactive Resource Provisioning for Voice over IP, Proceedings SPECTS 2003, Montreal, Canada, July 2003.

    S. Thomsen, B. Baldwin, E. Chi, J. Ellard, J.A. Schwartz, Histopathology of laser skin resurfacing, Proceedings of SPIE Vol 2970: May 1997


    ORAU Ralph E. Powe Junior Faculty Award, 2017
    R25 Cancer Prevention Fellowship, 2008
    Jack C. Pollard Graduate Fellowship in Engineering, 2007
    UC Berkeley Outstanding Graduate Student Instructor Award, 2001
    Bonner Book Award Recipient 1997, 1998, 1999
    Phi Beta Kappa, 1999
    Sigma Pi Sigma, 1998
    Xerox Technical Minority Scholarship, 1997