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Gyanendra Pokharel

Gyanendra Pokharel Title: Associate Professor, Statistics
Phone: 204.786.9347
Office: 6L03
Building: Lockhart Hall
Email: g.pokharel@uwinnipeg.ca

Ph.D. in Applied Statistics, University of Guelph, Guelph, Canada
M.Sc. in Applied Mathematics, Wilfrid Laurier University, Waterloo, Canada
M.Sc. in Pure Mathematics, Tribhuvan University, Kathmandu, Nepal
B.Sc. in Mathematics, Tribhuvan University, Kathmandu, Nepal


Dr. Gyanendra Pokharel received his first M.Sc. degree in Pure Mathematics from the Tribhuvan University, Kathmandu, Nepal; followed by a second M.Sc. degree in Applied Mathematics in 2011 from the Wilfrid Laurier University, Waterloo, Ontario. Because of his interest in Applied Statistics, he pursued a Ph.D. in Statistics at the University of Guelph in 2011. After obtaining his Ph.D. in 2015, he joined the University of Calgary's department of Mathematics and Statistics as a postdoctoral fellow and sessional instructor (2015-2018), and the department of Oncology as a postdoctoral associate (2018-2019). He joined the University of Winnipeg as an assistant professor in 2019.


Adjunct Assistant Professor, Department of Community Health Sciences, University of Manitoba.

Research Interests:

  • Biostatistics
  • Cancer epidemiology
  • Bayesian & computational statistics
  • Infectious disease modelling & surveillance
  • Spatial and temporal data analysis
  • Statistical learning (e.g., classification, clustering methods)
  • Network Meta-analysis
Dr. Pokharel currently holds an NSERC Discovery Grant, which allows him to support students in research positions. Contact him to learn about research opportunities.


Articles in preparation:

  • Gaussian process emulators for likelihood approximation of infectious disease transmission models.
  • Likelihood-based model classification and prediction of spatial epidemics.
  • Stage shifting by modifying the determinants of breast cancer at diagnosis: a simulation study

Accepted/ In Press:

  • Pokharel and R. Deardon (2021) “Emulation-based inference for spatial infectious disease transmission models incorporating event time uncertainty” to appear in the Scandinavian Journal of Statistics.

Published Articles:

  • Pokharel, R. Deardon, S. Johnson, G. Tomlinson, P. Hull, G. Hazlewood (2020) “Effectiveness of initial methotrexate-based treatment approaches in early rheumatoid arthritis: An elicitation of rheumatologists’ beliefs” in Rheumatology, keaa803. https://doi.org/10.1093/rheumatology/keaa803.
  • Hazelwood, G. Pokharel, R. Deardon, D. Marshall, C. Bombardier, G. Tomlinson, C. Ma, C. Seow, R. Panaccione & G. Kaplan (2020) “Patient preferences for maintenance therapy in Crohn’s disease: a discrete-choice experiment” in PLoS One, 15(1):e0227635.
  • G. Pokharel, R. Deardon, C. Barnabe, V. Bykerk, S. Bartlett, L. Bessette, G. Boire, C. Hitchon, E. Keystone, J. Pope, O. Schieer, D. Tin, C.Thorne & G. Hazelwood (2019) “Joint estimation of remission and response for methotrexate-based DMARD options in rheumatoid arthritis: A bivariate network meta-analysis” ACR Open Rheumatology.
  • G. Pokharel and R. Deardon (2018) Spatially-informed Back-Calculation for Spatio-temporal infectious disease models. Statistical Communications in Infectious Diseases. Vol. 10(1), Article 2.
  • G. Pokharel and R. Deardon (2016) Gaussian Process Emulators for Spatial Individual-level Infectious Disease. The Canadian Journal of Statistics, 44(4), 480-501.
  • G. Pokharel and R. Deardon (2014) Supervised learning and prediction of spatial epidemics. Spatial and Spatio-Temporal Epidemiology, 11, 59-77.