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: Dr. 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, "Fast computational methods for Bayesian sparse PCA". In preparation.
  2. Bo Ning, Allen Davis, Jessi Cisewski-Kehe, and Debra Fischer, "Disentangling stellar activity and planetary signals using Bayesian sparse PCA". In preparation.

Publications

  1. Bo Ning, Seonghyun Jeong and Subhashis Ghosal, 2020, "Bayesian linear regression for multivariate responses under group sparsity." Bernoulli (to appear). [arXiv]
  2. Ryan Martin and Bo Ning, 2019, "Empirical priors and coverage of posterior credible sets in a sparse normal mean model." Sankhya A (to appear). [arXiv]
  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).
  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. [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. [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). [arXiv] [R code]

Academic activities

    Invited talks

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

    6. Presentations

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

    21. Workshops

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

Awards

  • 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

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