Publications

  1. Dong L, Moodie EEM, Villain L, Thiébaut R. Evaluating the use of generalized dynamic weighted ordinary least squares for individualized HIV treatment strategies. The Annals of Applied Statistics. 17(3):2432-51.
  2. Abril-Pla O, Andreani V, Carroll C, Dong L, Fonnesbeck CJ, Kochurov M, Kumar R, Lao J, Luhmann CC, Martin OA, Osthege M. PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Computer Science. 2023 Sep 1;9:e1516.

Conference presentations

  1. Dong L, Heath A, Plint A. A Bayesian Analysis of the Canadian Bronchiolitis Epinephrine Steroid Trial (CanBEST). Presented at: SSC Annual Meeting; June 2023; Ottawa, ON.
  2. Rad A, Landry SH, Dong L, Benedetti A, Lands LC, Hantos Z, Dandurand RJ, Matouk E, Gottfried S. Oscillometry to Assess Respiratory Function in Adult Cystic Fibrosis [abstract]. In: Proceedings of the American Thoracic Society 2020 International Conference; 2020 May 15-20; Philadelphia, PA. DOI:10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A2988.
  3. Dong L, Moodie EEM, Villain L, Thiébaut R. Evaluating the use of generalized dynamic weighted ordinary least squares in individualized HIV treatment regimes. Presented at: Digital October IVADO; October 2020; Virtual.
  4. Dong L, Moodie EEM, Villain L, Thiébaut R. Evaluating the use of generalized dynamic weighted ordinary least squares in individualized HIV treatment regimes. Presented at: Canadian Statistics Student Conference; June 2020; Virtual.
  5. Dong L, Park P, Zhang Z. Count-ception autoencoder. Presented at: SSC Annual Meeting; June 2019; Calgary, AB.
  6. Dong L, Yan Z, Blanchette M. Activation maximization in the context of mRNA subcellular localization. Presented at: 14th Undergraduate Computer Science Research Symposium; August 18; Montreal, QC.