Nikola Surjanovic
Applied Scientist II (ML AI) at The University of British Columbia
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolNikola Surjanovic is an Applied Scientist II (ML/AI) at Amazon with nine years of experience bridging scalable Bayesian statistics and practical machine learning for large-scale supply chain and fulfillment systems. A PhD candidate in Statistics at UBC, he has driven research and open-source engineering—core contributor to Pigeons—for distributed uncertainty quantification that speeds computations by orders of magnitude. His work spans variational inference, normalizing flows, MCMC, and automated optimization for neural networks, applied across NLP, image recognition, and astrophysics collaborations. At Amazon he has moved from intern to full-time scientist, applying multi-agent systems and ML models to real-world logistics problems affecting millions of customers. Known for publishing at NeurIPS and AISTATS and for teaching leadership as a head TA, he combines deep theoretical rigor with production-minded engineering.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, 4.33/4.33, Doctor of Philosophy - PhD, Statistics, 4.33/4.33 at The University of British ColumbiaMaster's degree, Statistics, 4.30/4.33, Master's degree, Statistics, 4.30/4.33 at Simon Fraser University
Github Skills (20)
mpi10
sampling10
distributions10
mcmc10
stochastic-processes10
bayesian-inference10
parallel9
rcppeigen7
probabilistic-models6
r-package6
probabilistic-graphical-models5
r5
cosmology5
development-kit5
bayesian-statistics5
Programming languages (4)
Github contributions (5)
nikola-sur/FastRCode
Feb 2020 - Dec 2022
Contributions:17 commits, 1 push in 2 years 10 months
ubc-stat-grad/ubc-stat-grad.github.io
Sep 2021 - Mar 2025
Contributions:2 PRs, 106 pushes, 5 comments in 3 years 6 months
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