My homepage: www.nikola-sur.com
My projects: https://github.com/nikola-sur/projects
I am an Applied Scientist II (ML/AI) at Amazon within the Supply Chain Optimization Technologies team. I previously completed my PhD in Statistics at the University of British Columbia as a Vanier Scholar under the supervision of Dr. Alexandre Bouchard-Côté and Dr. Trevor Campbell. My research interests include scalable Bayesian inference and machine learning. More broadly, I am passionate about using data science to solve meaningful real-world problems.
I am also a core contributor and founding member of the Pigeons software project (https://pigeons.run/). If you have a difficult sampling or integration problem, leave me a message and/or check out our software!
I was previously 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.
