Bo Ning

About Me

Bo Yu-Chien Ning is an FSMP Postdoctoral Fellow working with Dr. Ismaël Castillo at Sorbonne Université in Paris on October 1st, 2020. He was a postdoctoral associate in Department of Statistics and Data Science at Yale University and obtained his Ph.D. in Statistics from North Carolina State University in July, 2018. His current research insterests are astrostatistics, Bayesian asymptotics and methodologies, time series analysis, and missing data problems.

He is also a landscape photographer. He likes to record the stunning beauty of nature. Some of his works can be found here. Prints are available for sale.

Research

Manuscripts/In preparation

  1. Bo Ning, "Bayesian principal component analysis with sparse priors". Submitted.

Publications

  1. Ryan Martin and Bo Ning, 2019, "Empirical priors and coverage of posterior credible sets in a sparse normal mean model." Sankhyā A (Special issue in honor of J.K. Ghosh), 82(2): 477-498. [Link] [arXiv]
  2. Bo Ning, Seonghyun Jeong and Subhashis Ghosal, 2020, "Bayesian linear regression for multivariate responses under group sparsity." Bernoulli, 26(3): 2353-2382. [Link] [arXiv] [Supplemental material]
  3. Bo Ning, Alexander Wise, Jessi Cisewski-Kehe, Sarah Dodson-Robinson, and Debra Fischer, 2019 "Identifying activity-sensitive spectral lines: A Bayesian variable selection approach". The Astronomical Journal, 158:5 (15pp). [Link] [R code]
  4. Shubham Kanodia, Angie Wolfgang, Gudmundur K. Stefansson, Bo Ning, and Suvrath Mahadevan, 2019, "Mass-Radius relationship for M dwarf exoplanets: Comparing nonparametric and parametric methods." The Astrophysical Journal, 882:1. [Link] [Python package]
  5. Bo Ning, Subhashis Ghosal and Jewell Thomas, 2019, "Bayesian method for causal inference in spatially-correlated multivariate time series." Bayesian Analysis, 14: 1-28. [Link] [arXiv] [Supplemental material] [R code]
  6. Bo Ning, Angie Wolfgang and Sujit Ghosh, 2018, "Predicting exoplanet masses and radii: A nonparametric approach." The Astrophysical Journal, 869:5 (16pp). [Link] [arXiv] [R code]

Academic activities

    Invited talks

  1. Joint Statistical Meeting, Virtual Conference, August, 2020
  2. Joint Statistical Meeting, Denver, August, 2019
  3. Data Scientist team, Jaguar Land Rover global headquarter, Coventry, United Kingdom, July 01, 2019
  4. Department of Statistics, North Carolina State University, May, 9, 2019
  5. "ASTRO Transition Workshop", SAMSI, NC, May 8-10, 2017.
  6. Maxpoint research day, Maxpoint Interactive Inc., Morrisville, NC, March, 2016
  7. Presentations

  8. American Astronomical Society 235th Meeting, Honolulu, Hawaii, January 04-08, 2020
  9. O'Bayes Meeting, University of Warwick, United Kingdom, June 28-July 02, 2019
  10. 12th International Conference on Bayesian Nonparametrics, Oxford, United Kingdom, June 24-28, 2019
  11. Statistics Conference, in honor of Aad van der Vaart’s 60th Birthday, Leiden, the Netherlands, June 17–21, 2019
  12. 6th Boston Area Exoplanet Science Meeting, Harvard/Center for Astrophysics, April, 5, 2019
  13. NextGen: Data Science Day, New England Statistical Society, Yale University, October 27, 2018
  14. Exoplanet seminar, Department of Astronomy, Yale University, October 2, 2018
  15. Department Seminar, NC State University, Raleigh, Mar 15, 2018
  16. O'Bayes Meeting, Austin, Dec 10-13, 2017
  17. 3rd workshop on extreme precise radius velocities (EPRV), Penn State University, August 14-17, 2017
  18. Joint Statistical Meeting, Baltimore, August, 2017
  19. International conference on advances in interdisciplinary statistics and combinatorics, Greensboro, NC, Sep 30-Oct 2, 2016
  20. Joint Statistical Meeting, Chicago, August, 2016
  21. ICSA Applied Statistics Symposium, Jun 12-15, Atlanta, 2016
  22. Graduate Student Research Symposium, the Graduate School, NC State University, March, 2016
  23. Workshops

  24. "TDP x G0V Civic Lab Hackathon", Taiwanese Data Professionals and G0V, New York City, NY, Nov 9-10, 2019
  25. "ASTRO: Astrophysical Population Emulation and Uncertainty Quantification", SAMSI, NC, April 3-7, 2017
  26. "ASTRO: Hierarchical Bayesian modeling of exoplanet populations" by invitation only, SAMSI, NC, Oct 17-28, 2016
  27. "Statistical, Mathematical and Computational Methods for Astronomy (ASTRO)", SAMSI, NC, Aug 22-26, 2016

Awards

  • The Fondation Sciences Mathématiques de Paris Postdoctoral Fellowship, 2020
  • Yale University Postdoctoral Scholars Travel Fund award, 2019
  • 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

Portfolio

Trainings

Contact

Laboratoire de Probabilités, Statistique et Modélisation
Sorbonne Université
4, Place Jussieu, 75005
Paris, France