Congrats to Sean for the publication of his review article “eQTLs as causal instruments for the reconstruction of hormone linked gene networks”! The review is part of a special issue “Insights in Systems Endocrinology: 2021” in Frontiers in Endocrinology.
Welcome Gutama!
A warm welcome to Gutama Ibrahim who joins the group as a PhD student. Gutama has a master in Applied Physics and Mathematics from the University of Tromsø and he will work on the “Intelligent systems for disease risk prediction” project.
Congratulations Sean!
Warm congratulations to Sean for successfully passing his PhD viva at the University of Edinburgh! Sean will now join us as a postdoc at CBU to work on the INTRePID project.
Welcome to Bergen Dr Bankier!
PhD position available
A PhD position is available in my group to work on the INTRePID project.
Welcome Mariyam!
A warm welcome to Mariyam Khan who joins us today as a PhD student!
Mariyam has a master degree in Mathematical Data Science from the University of Göttingen and will work on the NFR funded project “Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases”.
The pandemic being what it is, Mariyam joins us remotely at first, and we look forward to welcoming her in Bergen properly once border restrictions ease.
Welcome again, Mariyam!
PhD and postdoc position available
One PhD position and one postdoc position are available to work on the INTRePID project.
INTRePID project funded by NFR
Very pleased that the Norwegian Research Council will fund our project “Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases” as part of its IKTPLUSS initiative.
The aim of this project is to create computer methods for risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks. The project will integrate unique multi-omics data from three Nordic studies for a proof-of-concept application in cardiovascular medicine:
- The Stockholm-Tartu Atherosclerosis Reverse Networks Engineering Task (STARNET) study
- The Age, Gene/Environment Susceptibility – Reykjavik (AGES-RS) study
- The Hordaland Health Studies (HUSK)
The project partners are: