An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.

Promotor: Roeland M.H. Merks

Promotor: Prof.dr. J.N. Kok

Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.

In this project, we aim to obtain a quantitative understanding of the role of the immune system in tumor regression, of the role of tumor cell heterogeneity in cancer growth and of tumor cell migration properties.

Sonja Boas developed new techniques to study vascular growth computationally. The results of her research provide a better understanding into mechanisms behind vascular growth, which is relevant to the development of medical therapies. She defends her thesis 'Computational modeling of angiogenesis'

The precolonial inhabitants of the Caribbean islands communicated, travelled, and exchanged objects and ideas along an expansive inter-island network. New methods of computer modeling shed light on these networks. Emma Slayton is set to discuss her work on this topic at her Defense on the 12th of Se

Matthijs van Leeuwen of the Leiden Institute of Advanced Computer Science develops methods to make computer models interactive. With interactive models, experts can combine information from raw data with their own knowledge to make predictions more accurate. 'In this way we hope to build models that

Archaeologists often use the percentages of heat-affected stone or bone artifacts found at archaeological sites as a way to determine how frequently fire was used by the inhabitants. Andrew Sorensen and Fulco Scherjon have come up with a computer model called 'fiReproxies' to simulate how fires used

Promotor: M. Ubbink, Co-promotor: G. Siegal

The Repository from the Drug Disease Model Resources (DDMoRe) consortium provides a home to a collection of computational models of disease and drug action that have been used in pharmaceutical and/or academic research. This publically available open-access resource will make it easier for researchers

Nonparametric Bayes for high-dimensional models: contraction, credible sets, computations

With a Vici grant of 1.5 million euros, Professor of Mathematical biology Roeland Merks will look for ways to fix messy and leaky blood vessels in tumours. His research combines mathematical simulations and lab experiments in a unique way.

It is a stormy Sunday afternoon, with gusts of a whopping 110 kilometres per hour. Chemist Teun Sweere defies the enormous headwind on his city bike, and wins the NK Headwind cycling after 22,5 minutes. A new highlight follows six months later: his PhD defence (14 June).

Promotor: Prof.dr. E. Deprettere

Although sugars are widely used in biological and medical research, their synthesis is still badly understood. Jeroen Codée has received a Vici grant of 1.5 million euros for systematically studying the production of sugars. ‘I want to genuinely understand the reactions.’

Lecture

PhD Defence

Conference, Workshop

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.

The goal of the MODOMA-project is to create a computer model of language acquisition.

Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to

Lecture

Lecture

Projects within the theme ‘Computational Biology’ aim to employ mathematical or computational dynamical modelling approaches to discover novel concepts that are important for drug development.

The project Deconstructing Stability aims to improve reconstructions of late prehistoric landscapes and predictive models for the purpose of archaeological heritage management.

In this project we study the properties of statistical- and rule-learning mechanisms in relation to the acquisition and evolution of language. We ask to what extent these mechanisms are unique to humans - or to human language - by comparing the acquisition of vocal structure in two species: humans (infants)

The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative

This dissertation is concerned with the development of grammar. Starting from a usage-based perspective, which holds that children use domain-general learning mechanisms to acquire the grammatical patterns of their mother tongue, Beekhuizen shows how to operationalize various concepts from this tradition

This computational approach to the complexity of text comprehension is useful for describing the cognitive processes involved.

This dissertation investigates Extended Lexical Units (ELUs), elements that are bigger than just one word and which are stored in the Lexicon.

In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.

Promotor: Prof.dr. S. Haring

Classical mathematical models treat space and time as a continuum, while it is sometimes more useful to regard it as granular. Hupkes is studying what this means for a number of important patterns that are often found in computer calculations and in nature.

Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information

Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom

This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.

In this research group, led by Dr. Joost Beltman, the aim is to employ mathematical and computational dynamical modelling approaches in order to quantitatively and mechanistically understand the dynamical behaviour and regulation of intracellular networks of genes, proteins and metabolites as well as

Promotor: Prof.dr. R.M.H. Merks

Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.

Our goal is to develop usable, practical and meaningful Brain-Computer Interfaces to diagnose, restore, repair and enhance functions of the impaired brain.

The two-year master’s programme in Computer Science at Leiden University offers six specialisations ranging from Bioinformatics to Data Science. The programme combines excellent theoretical teaching with possibilities for applied work with industrial relevance.