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 Bayesian high dimensional and nonparametric models, astrostatistcs, Bayesian dynamic time series, causal inference, and missing value analysis.

He also collaborates with other researchers including Statisticans: Dr. Sujit Ghosh and Dr. Ryan Martin. Astronomers: Mr. Alexander Wise, Dr. Angie Wolfgang, Dr. Debra Fischer, Dr. Sarah Dodson-Robinson, and Mr. Shubham Kanodia; Advertising company: the Product analysis team in Maxpoint Interactive Inc. (now, Valassis Digital).

Research

Manuscripts/In preparation

  1. Bo Ning, Seonghyun Jeong and Subhashis Ghosal, 2019+, "Bayesian linear regression for multivariate responses under group sparsity." Under revision for Bernoulli. [arXiv]
  2. Ryan Martin and Bo Ning, 2019+, "Empirical priors and coverage of posterior credible sets in a sparse normal mean model." Under revision for Sankhya A. [arXiv]
  3. Shubham Kanodia, Angie Wolfgang, Gudmundur K. Stefansson, Bo Ning, and Suvrath Mahadevan, 2019+, "Mass-Radius relationship for M dwarf exoplanets: Comparing nonparametric and parametricmethods." Under revision for The Astrophysical Journal.
  4. Bo Ning, Alexander Wise, Jessica Cisewski, Sarah Dodson-Robinson, and Debra Fischer, 2019+ "A Bayesian approach to identifying activity-sensitive spectral lines". Submitted to the Astrophysical Journal.
  5. Bo Ning, 2019+, "Bayesian sparse spiked-covariance model with continuous spike-and-slab priors". In preparation.

Publications

  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, 2019, "Bayesian method for causal inference in spatially-correlated multivariate time series." Bayesian Analysis, 14: 1-28. [arXiv] [Supplemental material] [R code]

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

  4. O'Bayes Meeting, University of Warwick, United Kingdom, June 28-July 02, 2019
  5. 12th International Conference on Bayesian Nonparametrics, Oxford, United Kingdom, June 24-28, 2019
  6. Statistics Conference, in honor of Aad van der Vaart’s 60th Birthday, Leiden, the Netherlands, June 17–21, 2019
  7. Department seminar, Department of Statistics, North Carolina State University, May, 9, 2019
  8. 6th Boston Area Exoplanet Science Meeting, Harvard/Center for Astrophysics, April, 5, 2019
  9. NextGen: Data Science Day, New England Statistical Society, Yale University, October 27, 2018
  10. Exoplanet seminar, Department of Astronomy, Yale University, October 2, 2018
  11. Department Seminar, NC State University, Raleigh, Mar 15, 2018
  12. O'Bayes Meeting, Austin, Dec 10-13, 2017
  13. 3rd workshop on extreme precise radius velocities (EPRV), Penn State University, August 14-17, 2017
  14. Joint Statistical Meeting, Baltimore, August, 2017
  15. International conference on advances in interdisciplinary statistics and combinatorics, Greensboro, NC, Sep 30-Oct 2, 2016
  16. Joint Statistical Meeting, Chicago, August, 2016
  17. ICSA Applied Statistics Symposium, Jun 12-15, Atlanta, 2016
  18. Graduate Student Research Symposium, the Graduate School, NC State University, March, 2016

    19. Workshops

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

Awards

  • Travel support for O'Bayes conference, 2019
  • Travel grant to attend the Aad van der Vaart's 60th birthday conference, 2019
  • IMS new researcher travel award, 2019
  • ISBA travel award to attend International Conference on Bayesian Nonparametrics, 2019
  • O'Bayes meeting travel award, 2017.
  • Outstanding teaching assistant award for excellence in mentorship, University Graduate Student Association, NCSU, 2015
  • Outstanding teaching assistant award, Department of Statistics, NCSU, 2015

Teaching

Courses

Teaching portfolio

Teaching trainings

Contact

24 Hillhouse Ave
Department of Statistics and Data Science
Yale University
New Haven, CT 06511
bo.ning@yale.edu

Github