Data Science Platform

The primary objective of the Data Science Platform (DSP) is to make data science more accessible and inclusive across the Centre and the DTU community. To achieve this goal, the DSP is built on four pillars: support, education, innovation, and tool development.

Support: focusing on providing researchers and core functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning.

Education: developing a training program focused on data science literacy, guiding researchers through different levels to become data-aware and proficient in data science.

Innovation: introducing researchers to new computational biology methods and technologies and modernize the data science landscape at the Centre.

Tool development: building standard tools that can be shared across the Centre and open sourced for the entire community to use.


Alberto Santos Delgado
Senior Researcher
DTU Biosustain