1. Published multiple papers on Bayesian statistics, machine learning, and deep learning
2. Published two papers in ICML 2024
3. Published a paper in Nordic Machine Intelligence
4. Published a paper in Neural Computing and Applications
5. Mentioned among top reviewers in UAI 2024
6. Developed and released FBMS version 1.2 with accompanying tutorials
7. First paper of a PhD student published in TMLR
Research Experience
1. Gave talks at various academic conferences
2. Co-organizing IWSM 2026
3. Joined the scientific committee of NORDSTAT 2026
4. Served as the main author or co-author for multiple papers
5. Supervised several master students to complete their theses
6. Taught multiple courses related to statistics and machine learning
Education
1. University of Oslo, PhD, August 2014 - August 2018, Specialty: Statistics, Dissertation: "Bayesian model configuration, selection and averaging in complex regression contexts".
2. Molde University College, Master of Science, August 2012 - June 2014, Specialty: Operations Research, Research Thesis: "Evaluation of Supply Vessel schedules robustness with a posteriori improvements".
3. Belarusian State University, Specialist (Diploma), September 2008 - June 2013, Specialty: Econometrics and Statistics, Research Thesis: "Methods and tools of investment management in conditions of international diversifications".
Background
Associate Professor with a focus on Statistics, Artificial Intelligence, Machine Learning, and Operations Research. Research interests include Bayesian statistics, Bayesian model selection and averaging, efficient MCMC and Variational Bayes inference procedures, and probabilistic machine learning.
Miscellany
1. Chair of the board of the Oslo section of the Norwegian Statistical Association
2. Social media profiles: Google Scholar, NVI, LinkedIn, Twitter