Personal profile

Other information

Visiting scholar at Columbia University, 2007

Visiting postdoc at Cambridge University 2008-2009

Research areas

Statistical models are used in all areas of science to describe stochastic relations between variables. In statistical modeling, probability theory is used to describe the uncertaincy that is present due to inaccurate measurements, model mismatch, missing data, etc. The process of drawing conclusions based on statistical models is called statistical inference. The aim of my research is to develop novel statistical methodology, which includes:

  • Formulating probabilistic models and devising procedures for computational inference, evaluation, and validation.
  • Applying the developed methodology to solve problems in various application areas in science and industry.

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 16 - Peace, Justice and Strong Institutions


Dive into the research topics where Mikkel N. Schmidt 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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