Nikola Surjanovic

Nikola Surjanovic

PhD Student in Statistics

The University of British Columbia


I am a Vanier Scholar pursuing a PhD in Statistics at the University of British Columbia under the supervision of Dr. Alexandre Bouchard-Côté and Dr. Trevor Campbell. My research interests include scalable Bayesian inference and machine learning.

I am currently a Co-Chair and founding member of the Student Committee of the Western North American Region of the International Biometric Society. I previously held an Alexander Graham Bell Canada Graduate Scholarship (Master’s level) of the Natural Sciences and Engineering Research Council of Canada (NSERC) and was a recipient of the Governor General’s Silver Medal.

In my free time I enjoy playing tennis and road biking. I also play the violin and like to take part in music jam sessions.

  • Scalable Bayesian Inference
  • Machine Learning
  • Goodness-of-Fit
  • PhD in Statistics, Present

    The University of British Columbia

  • MSc in Statistics, 2021

    Simon Fraser University

  • BSc in Statistics (Minor in Mathematics), 2019

    Simon Fraser University

Recent Publications

(2024). autoMALA --- Locally adaptive Metropolis-adjusted Langevin algorithm. International Conference on Artificial Intelligence and Statistics (accepted).

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(2024). MCMC-driven learning. Intended to appear in the Handbook of Markov Chain Monte Carlo.


(2023). Pigeons.jl --- Distributed Sampling From Intractable Distributions. Submitted.

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(2023). Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials. Journal of Applied Statistics.

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(2023). A generalized Hosmer-Lemeshow goodness-of-fit test for a family of generalized linear models. TEST.

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News and Upcoming Events

Presentations at BAYSM and CANSSI Showcase 2023
Nov 2023 – Nov 2023 Virtual
Invited talk at Harvard Center for Astrophysics 2023
Jul 2023 – Jul 2023 Harvard University, MA, USA
Presentation at JuliaCon 2023
Jul 2023 – Jul 2023 Massachusetts Institute of Technology, MA, USA
Presentation at IRSA 2023 Conference
May 2023 – May 2023 University of Minnesota, Minneapolis, MN, USA
Invited talk at Bayes Comp 2023
Mar 2023 – Mar 2023 Levi, Finland
Presentation at NeurIPS 2022
Nov 2022 – Nov 2022 New Orleans, LA, USA