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Data Science and its Applications

Data science is interdisciplinary and touches upon technical areas such as mathematics, statistics and computer science as well as various applications such as in the biomedical sciences, industrial applications, business, social sciences and natural sciences. It can be viewed as a vehicle establishing methodology that is vital for the connection between methodology and applications and which ultimately allows for the sciences to have an impact in real-world applications.

In the Research Department Data Science and its Applications, we explore the use of methods from artificial intelligence, machine learning and beyond to generate knowledge from data. This is because patterns and insights can be extracted from data, which can be used for prediction, process optimization and decision support in many different areas. This includes the development of new methods for Data Science applications as well as open source tools and methods that facilitate these applications and improve the knowledge gained from data.

The research constitutes of four major streams:

Bayesian methodology and Monte Carlo Methods

Exploring of novel methodologies and the extension of established theoretical works pertaining to machine learning.

Machine Learning in Julia (MLJ)

Development of the software package Machine Learning in Julia, a modelling toolbox providing a common interface and meta-algorithms for selecting, tuning, evaluating and building
composite models.


Applications of machine learning with a focus on health care

Apply methods to develop data science tools that provide actionable insights, such as for the UK government's response to COVID-19, treatment selection for diabetes, or prediction of emergency room admissions in Scotland.

Data Science for Social Good

We use our knowledge in these two areas to champion new ways of delivering impact, through short term collaborations with industrial, nonprofit and academic partners to address real-world challenges in programs that combine education and implementation.


Daniel Mayer
Phone: +49 631 20575 7603

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Data Science and its Applications
Trippstadter Str. 122
67663 Kaiserslautern