Bo Ning

About Me

Bo Ning is a postdoctoral associate in the Department of Statistics and Data Science at Yale University. He is advised under Dr. Jessi Cisewski. He obtained his Ph.D. from North Carolina State University in July, 2018 under the supervision of professors Subhashis Ghosal and Peter Bloomfield. His current research insterests are astrostatistcs, methodoglogies and theoretical studies on Bayesian high dimensional models and nonparametric models. He also interested in Bayesian dynamic time series and Bayesian causal inference.

Besides his advisors, he also collaborates with other researchers including Statisticans: Dr. Sujit Ghosh and Dr. Ryan Martin; an Astronomer: Dr. Angie Wolfgang; the Product analysis team in Maxpoint Interactive Inc.


Manuscripts/In preparation

  1. Bo Ning and Subhashis Ghosal, 2018, "Bayesian linear regression for multivariate responses under group sparsity." Submitted. [arXiv]
  2. Ryan Martin and Bo Ning, 2018, "Empirical priors and coverage of posterior credible sets in a sparse normal mean model." [arXiv]
  3. Bo Ning and Matthias Löffler. "The variational Bayes method for sparse PCA model". In preparation.
  4. Bo Ning, Alexander Wise, Jessica Cisewski, Sarah Dodson-Robinson, and Debra Fischer. "A Bayesian approach to identify activity-sensitive spectral lines". In preparation.


  1. Bo Ning, Angie Wolfgang and Sujit Ghosh, 2018, "Predicting exoplanet masses and radii: A nonparametric approach." The Astrophysical Journal, 869:5 (16pp). [arXiv] [R code]
  2. Bo Ning, Subhashis Ghosal and Jewell Thomas, 2018, "Bayesian method for causal inference in spatially-correlated multivariate time series." Bayesian Analysis (to appear). [arXiv] [Supplemental material] [R code]

Working paper

  1. Bo Ning and Peter Bloomfield, 2017, “Bayesian inference for generalized extreme value distribution with Gaussian copula dependence.” Working paper. [arXiv]

Academic activities

    Invited talks

  1. Joint Statistical Meeting, Denver, August, 2019
  2. "ASTRO Transition Workshop", SAMSI, NC, May 8-10, 2017.
  3. Maxpoint research day, Maxpoint Interactive Inc., Morrisville, NC, March, 2016
  4. Presentations and poster

  5. Statistics Conference, in honor of Aad van der Vaart’s 60th Birthday, Leiden, the Netherlands, June 17–21, 2019
  6. NextGen: Data Science Day, New England Statistical Society, Yale University, October 27, 2018
  7. Exoplanet seminar, Department of Astronomy, Yale University, October 2, 2018
  8. Department Seminar, NC State University, Raleigh, Mar 15, 2018
  9. O'Bayes Meeting, Austin, Dec 10-13, 2017
  10. 3rd workshop on extreme precise radius velocities (EPRV), Penn State University, August 14-17, 2017
  11. Joint Statistical Meeting, Baltimore, August, 2017
  12. International conference on advances in interdisciplinary statistics and combinatorics, Greensboro, NC, Sep 30-Oct 2, 2016
  13. Joint Statistical Meeting, Chicago, August, 2016
  14. ICSA Applied Statistics Symposium, Jun 12-15, Atlanta, 2016
  15. Graduate Student Research Symposium, the Graduate School, NC State University, March, 2016
  16. Workshops

  17. "ASTRO: Astrophysical Population Emulation and Uncertainty Quantification: April 3-7, 2017", SAMSI, NC, April 3-7, 2017
  18. "ASTRO: Hierarchical Bayesian modeling of exoplanet populations" by invitation only, SAMSI, NC, Oct 17-28, 2016
  19. "Statistical, Mathematical and Computational Methods for Astronomy (ASTRO)", SAMSI, NC, Aug 22-26, 2016



Teaching portfolio

Trainings and awards

  • O'Bayes meeting travel award, O'Bayes 2017 Meeting, Austin, Dec 10-13, 2017.
  • Certificate of accomplishment in teaching (CoAT), the Graduate School, NCSU, 2016
  • Outstanding teaching assistant award for excellence in mentorship, University Graduate Student Association, NCSU, 2015
  • Outstanding teaching assistant award, Department of Statistics, NCSU, 2015
  • Graduate student summer teaching institute, NCSU, June 9-11, 2014


24 Hillhouse Ave
Department of Statistics and Data Science
Yale University
New Haven, CT 06510