Promotor: Roeland M.H. Merks

Promotor: Prof.dr. J.N. Kok

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.

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

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…

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…

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

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

The coronavirus has the world in its grip. Finding a cure has never been more important. Unfortunately, the development of new drugs for treatment of the COVID-19 disease caused by the virus and development of a vaccine are complex, lengthy, and above all costly processes. With the help of computer…

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.

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

Promotor: Prof.dr. E. Deprettere

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

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.

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.

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…

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.

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…

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.

Science, Leiden Institute of Advanced Computer Science (LIACS)

Task of the Computer Committee is to give advice, possibly unsolicited, on ICT matters to the Management Team of LIACS. This includes advice on ICT related policies of the faculty and university, procurement of computer and other machinery, and system administration.

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

PhD candidates carry out a programme of independent research and additional (limited) course work, culminating in production of a PhD thesis in typically 4 years.

Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?

LIACS is partner in the project 'Stereotyping in Computer Science.' The project is a collaboration between multiple universities and the Dutch national expert organization on girls/women and science/technology (VHTO), which will investigate the stereotypes that children hold about computer scientist…

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)…

Promotor: Prof.dr. S. Haring

Learning how computers can process and describe images just like human beings do. It is one of the key elements of the research of Michael Lew, who sees Deep Learning as a promising way to achieve this goal. On the 1st of January 2021, he was appointed Professor of Deep Learning at the Leiden Institute…

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.

Beowulf clusters looking for new frontiers.

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

In this work we describe three methods to improve the performance of Quantum Field Theory calculations.

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

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…

The worldwide race to the quantum computer is in full swing. This computer can take on computing tasks that we can only dream of today, such as finding proteins that can be used as medicines in seconds flat. Leiden physicists have discovered how the Majorana particle can be used as a building block…

Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.

The zebrafish is a promising vertebrate model organism in early drug discovery and development.

We are becoming ever more dependent on automation systems in our daily lives. Computer Science is more than programming; you integrate maths and logic into the development of systems and solutions that can be applied in all fields - from business to healthcare.

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…

Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…

The Computer Support group provides dedicated support for the computing infrastructure of Leiden Observatory

Promotor: S.J. Edixhoven, L.D.J. Taelman

Met de bachelorspecialisatie Informatica & Economie aan de Universiteit Leiden leer je waardevolle inzichten in de economie te combineren met (programmeer)vaardigheden en kennis uit de informatica.

This thesis describes the importance of being able to control the selectivity of potential drug candidates.