HeaDS lists additional data science groups, courses and resources at the Faculty of Health and Medical Sciences.
Data Science
The Department of Drug Design and Pharmacology 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.
The Department of Drug Design and Pharmacology has a team of data scientists and course managers that will strengthen the data science as an element across research and teaching.
The Data Science Team will:
• Synergize strong drug-related research with strengthening of big data science.
• Establish infrastructure and support for swift integration of big datasets from ILF and public resources.
• Tailor big data into existing and new courses to fill an educational need of the life science industries
• Increase the accessibility of data science expertise and resources to scientists.
• Profile our research data e.g. via online research hubs developed at the Department
• Complete the integration of databases with person-sensitive information and allow linkage in secure environments, e.g. Statistics Denmark, the Danish Health Data Authority and Computerome
Computational Receptor Biology; Professor Gloriam, David E.
Pharmacometrics; Associate professor Trine Meldgaard Lund
Pharmacovigilance Research Center; Professor Andersen, Morten
| Course leader | Level | No. stud | Title | Data Science element |
| Morten Andersen | PhD | 20-30 | Register-based research: Pharmacoepidemiology - drug use and safety |
Pharmaco- epidemiology |
| Morten Andersen & Maurizio Sessa |
MSc | 25 | Pharmacoepidemiology and Pharmacovigilance | Pharmaco- epidemiology |
| Morten Andersen & Maurizio Sessa |
PhD | 20 | Fundamentals of register-based pharmaco- epidemiology: evidence synthesis, data sources, and study design |
Pharmaco- epidemiology |
| Jette Katrup | PhD | 20-30 | Receptor structure and function | Data science receptor research |
Data science team members
The data science team combines data science research groups and course managers to facilitates data science across research and teaching.
| Name | Title | Image |
|---|---|---|
| Andersen, Morten | Professor |
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| Frydenvang, Karla Andrea | Associate professor |
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| Gajhede, Michael | Professor |
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| Gloriam, David E. | Professor |
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| Hauser, Alexander Sebastian | Postdoc |
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| Johansen, Tommy Nørskov | Associate professor, head of studies |
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| Kooistra, Albert Jelke | Assistant professor |
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| Lund, Trine Meldgaard | Associate professor |
|