Janosch Ortmann

I am an assistant professor in the Department of Analytics, Operations and IT at the school of management (ESG) of the University of Québec in Montréal (UQAM).

I am a member of the probability lab in the Centre de recherches mathématiques (CRM) and a full member of GERAD. I am also a

Research interests

My main mathematical research interest lies in studying random particle systems and polymer models, particularly in the framework of stochastic integrable systems and the KPZ universality theory. The study of these models turns out to have interesting connections with various areas of mathematics, including algebra, queueing theory and combinatorics (via geometric analogues of the Robinson-Schensted-Knuth correspondence). I am also interested in random matrix theory and probabilistic aspects of free probability theory.

On a more applied side, I am interested in the application of probabilistic modelling and machine learning in medicine, operations research and humanitarian logistics.

Recent preprints

  • Problem-Driven Scenario Clustering in Stochastic Optimization (with Julien Keutchayan and Walter Rei). arXiv
  • A machine learning approach to deal with ambiguity in the humanitarian decision making (with Emilia Graß, Burcu Balcik and Walter Rei). CIRRELT-2021-51
  • Evaluation of statistical approaches for association testing in noisy drug screening data (Smirnov P, Smith I, Safikhani Z, Ba-alawi W, Khodakarami W, Lin E, Yu Y, Martin S, Ortmann J, Aittokallio T, Hafner M, Haibe-Kains B). arXiv