Dhouha Grissa

CV

• Since Oct. 2017: Post-doc at the Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark. "Research in data mining and knowledge discovery of past medical records of patients with alcoholic liver disease."

• 02/2017-08/2017: Post-doc at IRIT-UMR 5505, SMAC team, University of Toulouse 1 Capitole, France. "Research in process and text mining, with the application of machine learning and data mining approaches."

• 09/2014-10/2016: Post-doc at INRA of Clermont-Theix - Nutrition Human department - Mapping team, France. This research work was under the direction of Pr. Blandine Comte, Pr. Estelle Pujos-Guillot, and in collaboration with Pr. Amedeo Napoli, Orpailleur team of INRIA/LORIA of Nancy. "Knowledge discovery of early predictive biomarker using untargeted metabolomic data."

• 09/2013-08/2014: Contractual assistant at the Department of Computer Science, University of Bordeaux1, France.

• 11/2010-12/2013: PhD student at LIMOS-CNRS, University of Clermont-Auvergne, France, under the supervision of Pr. Engelbert Mephu Nguifo and Pr. Sadok Ben Yahia (University of Tunis-El-Manar). "Study of the behavior of interestingness measures of knowledge extraction."      

       I would be glad to send you my full resume upon request.

Kort præsentation

Dhouha joined Jensen’s group as a postdoc in Oct. 2017. She is involved in the EU funded project Galaxy which has the ambition, by combining unique capabilities in European institutions, to perform integrated systems modelling of multi-omics data together with clinical data. Her research focuses on the development of a strategy based on the use of knowledge extraction methods and data mining for early detection of fibrosis of the liver caused by alcohol. As a first response to this problem:

• she uses the Danish National patient registry data to analyze the past medical records of patients with alcoholic liver disease and to improve understanding of alcoholic liver fibrosis.
• she is developing a new exploratory approach to identify new biomarkers that prevent the progression and development of the alcoholic liver fibrosis before advancing into cirrhosis at the follow-up in at-risk individuals.