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Personal profile

Personal information

Nanne A. Dieleman (1996) obtained her master's degree in Econometrics & Operations Research from the Vrije Universiteit in 2020 and obtained her second master's degree in Business Analytics from the Vrije Universiteit in 2021. She subsequently started an ABRI PhD position at the department of Operations Analytics at the School of Business and Economics.


Nanne's research interests are:

  • Stochastic Systems
  • Markov Chain Theory
  • Stochastic Optimisation Techniques
  • Machine Learning Techniques
  • Neural Networks
  • Sustainability
  • Health Care

She is currently focusing on analysing and optimising stochastic systems.


Nanne has five years of teaching experience in courses such as Stochastic Systems, Queuing Theory, Academic Skills, Calculus and Probability Theory. She currently teaches courses of the Econometrics & Operations Research Bachelor and Master programmes and the International Business Administration Bachelor programme.

Ancillary activities

  • WNF | het Gooi | Vrijwilliger | 2022-01-01 - present

Ancillary activities are updated daily

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure


  • QA Mathematics
  • Stochasticity
  • QA75 Electronic computers. Computer science
  • Machine Learning

User created Keywords

  • Neural Networks
  • Health Care
  • sustainability
  • Markov Chain Theory
  • Optimisation


Dive into the research topics where Nanne A. Dieleman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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