Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

In this work, we attempt to answer the question:

Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

Supercomputer ALICE has been expanded, making it even more powerful and faster. This means researchers and students can work with heavier models. From language research to brain activity scans, this expansion is good news for a variety of disciplines. So who gets to work with this prima donna?

Pharmaceutical research should make more use of data science, says Gerard van Westen, postdoctoral fellow at the Leiden Academic Centre for Drug Research (LACDR). ‘If we want to have better drugs, we should start with data.’

Lecture