Nikola Surjanovic
Nikola Surjanovic is 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. His primary research interest is in scalable Bayesian inference algorithms with theoretical guarantees.
Session
Pigeons.jl enables users to leverage distributed computation to obtain samples from complicated probability distributions, such as multimodal posteriors arising in Bayesian inference and high-dimensional distributions in statistical mechanics. Pigeons is easy to use single-threaded, multi-threaded and/or distributed over thousands of MPI-communicating machines. We demo Pigeons.jl and offer advice to Julia developers who wish to implement correct distributed and randomized algorithms.