Data Science

Pharmaceutical sciences have traditionally been driven by experimental observations. However, the recent development within data science has enabled totally new ways to understand drug related research data. Pharma DS is leveraging big data challenges within multiple research areas ranging from drug effects at a receptor level and biological effects of the drug, to design of medicinal products and observational patient data.

data science

 

 

 

 

 

 

 

 

 

 

Computational Receptor Biology; Professor Gloriam, David E.

Manufacturing and Materials, Professor Jukka Rantanen

Pharmacometrics; Associate professor Trine Meldgaard Lund

Pharmacovigilance Research Center; Professor Andersen, Morten

Data Science for Drug Design; Associate Professor Kooistra, Albert J.

Drug-related Data Science; Associate Professor Hauser, Alexander S.

 

 

Level No. stud Title Data Science element Course leader
BSc >200 Cellular and
Molecular Biology
Python, Jupyter notebooks,
simulation of cellular processes
Osman Asghar
BSc,
MSc
50 Pharmaceutical Modelling Machine learning
and multivariate
data analysis
Anders Ø. Madsen
MSc 25 Pharmaco-
epidemiology
and Pharma-
covigilance
Pharmaco-
epidemiology
Morten Andersen &
Maurizio Sessa
MSc    20-30 Advanced Manufacturing
of Pharmaceuticals 
Exploratory data
sciences and
data mining
Jukka Rantanen

MSc

>200

Medicinal and
Biostructural
Chemistry

AI in Drug Discovery, training
and evaluating classifiers

Michael Gajhede

MSc

10-20

Big Data,
Artificial Intelligence
and Machine
Learning in
Drug Safety

Big Data/AI/ML
in Drug Safety

Morten Andersen & Maurizio Sessa

MSc

30-40

Structure-based
Drug Research

Predictive modelling,
Naive Bayes, regression, evaluation
metrics for
predictive models

Albert J. Kooistra &

Annette E. Langkilde &

Karla A. Frydenvang

PhD

20-30

Personalised
Medicine

Data analysis and
visualization, variant
effect prediction

José Moreira &

Alexander S. Hauser

PhD

20-30

Register-based research:
Pharmaco-epidemiology -
drug use
and safety

Pharmaco-
epidemiology

Morten Andersen

PhD
(ULLA consortium)

60

Artificial intelligence
in Drug Discovery

Data handling,
supervised/
unsupervised ML,
dimensionality reduction,
PCM modeling,
image processing
and analysis, and more

Albert J .Kooistra (KU) &

Gerard J.P. van Westen (Leiden University) &

Ola Spjuth (Uppsala University)