Data Science

ILF spans ‘from molecule to human’ encompassing interdisciplinary drug related research data. ILF has strong opportunities to leverage big data sciences within multiple research areas: in silico modelling of drug effects, receptor pharmacology, in vivo animal experiments, ex vivo studies on human tissue, and observational epidemiological studies on drug effects in humans.

Based on ILF strategic goals 2020-2023, we aim at unleashing the full research potential of the Department as well as the individual employee by establishing strong interdisciplinary research clusters supported by core teams with particular focus on data science and innovation respectively.

data science

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Group leader

Group Leader

David Gloriam
Professor

Phone +45 3533 6162
david.gloriam@sund.ku.dk

Core members

The members in the Data Science Core Team has been appointed based upon their competences within data science.

Name Title Phone E-mail
Andersen, Morten Professor +45 353-33506 E-mail
Frydenvang, Karla Andrea Associate professor +45 353-36207 E-mail
Gajhede, Michael Professor +45 353-36407 E-mail
Gloriam, David E. Professor +45 353-36162 E-mail
Johansen, Tommy Nørskov Associate professor, head of studies +45 353-36412 E-mail
Kongstad, Kenneth Thermann Assistant professor, tenure track +45 353-36411 E-mail