Science, Leiden Academic Centre for Drug Research (LACDR)

Promotor: Roeland M.H. Merks

Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.

Accelerating the diagnosis and personalising the management of inherited metabolic diseases.

There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…

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…

In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.

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…

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

Computational linguistics uses computational methods to help answer linguistics questions across a variety of topics.

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.

Promotor: Prof.dr. E. Deprettere

We investigate reaction systems, a novel computational model gleaned from the biochemical reactions taking place in living cells and information processing in nature.

This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.

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.

Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.

Course, Summer School

Research in the natural computing cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.

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.

This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.

The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.

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.

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)…

We see computer programming as an essential skill. It enables you to be self-sufficient in building tools, processing data, visualizing research output, communicating research results, etc. Moreover, it empowers you to make beautiful things.

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.

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…

In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.

Promotor: Prof.dr. S. Haring

This dissertation focused on computational methods based on first principles calculations using the Density Functional Theory (DFT) framework. Emphasis was laid on affordable methods that can provide a tradeoff between computational expense and accuracy.

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?

Are you thinking about studying Computer Science? Learn more and watch the videos.

Computational thinking, programming, and algorithms form the basic of many of the things that are shaping our world, the way we work, interact, organize ourselves, and even spend our free time with social networks, streaming media, and games. And this transformation is far from being complete, it is…

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…

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

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

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.

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…

Anthropologist Rodrigo Ochigame studies how AI is changing the practice of scientific research. From astrophysics to mathematics to climate science, they find that the adoption of new AI models is raising questions about what counts as reliable scientific evidence.

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…

Beowulf clusters looking for new frontiers.

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