Asger Hobolth: Research Interests

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Statistical genetics

These days, my main interest is the application of sound statistical methods in genetics. I am particularly interested in DNA sequence evolution, both within and between species. Key statistical models include continuous time Markov models, coalescent models, and hidden Markov models.

Diffusion tensor imaging

Diffusion tensor imaging (DTI) may be used to study anatomical connectivities in the brain. Together with Eva B. Vedel Jensen, Jesper Frandsen and Leif Østergaard, I have developed a MCMC procedure that reduces the noise from DTI measurements.

Statistical shape analysis

In malignancy grading of cancer tissue, the shape of cells and cell nuclei is a crucial parameter. More generally, characterisation of biological shape variation is of great importance in clinical medicine. My PhD thesis (from 2002) is concerned with the use of Ulf Grenanders deformable template approach for exploring shape variability. My thesis is supervised by Eva B. Vedel Jensen.