Methods for accurately computing the interaction of molecules with metal surfaces are critical to understanding and thereby improving heterogeneous catalysis.

The formation of stars and planets happens over multiple scales, which can interact. In particular, planet formation happens in the dense, complex environment of star forming regions.

Main challenges in skin vaccination are overcoming the stratum corneum (SC) barrier and targeting the antigen presenting cells (APC) in the epidermis and the dermis.

Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink, Co-promotor: Dr. B.E. Snaar-Jagalska

Arts and leisure, Arts and leisure

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

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.

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

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

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.

This thesis aims to enhance our understanding of galaxies by testing theoretical models of galaxy formation against observations, particularly in the cases of extreme systems which have been found to have an excess of baryonic mass in their central regions, in the form of either supermassive black holes…

This research team is concerned with the measurement and modelling of behaviour, cognition, and unobserved traits (e.g., latent variables, missing data). Central aims include the distillation of a complex set of features into lower-dimensional representations (e.g., factor analysis, IRT), determining…

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.

One of the key limitations of the direct imaging of exoplanets at small angular separations are quasi-static speckles that originate from evolving non-common path aberrations (NCPA) to which the primary adaptive optics system is inherently blind. The main focus of this thesis is the development and…

The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis

Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.

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

Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price

Peter Grunwald

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

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.

ASLU 14

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

By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

From surface science towards industrial practice using high-pressure scanning tunneling microscopy.

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.

Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver

Science, Leiden Academic Centre for Drug Research (LACDR)

In this research project child language phonology is studied from the perspective of a psycholinguistic speech-production model and this model is in turn studied from the perspective of developmental phonology.

A research agenda

Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.

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.

Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.

Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.

Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen

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…

The discovery that eleven asteroids might collide with our Earth has become world news. The research of three Leiden astronomers has appeared on more than 190 news sites worldwide, from America to China. They developed and trained an artificial neural network for this discovery.

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.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

During embryonic growth, cells proliferate, differentiate, and collectively migrate to form different tissues at the right position and time in the body.

Promotor: Prof. dr. A.G.G.M. Tielens

How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?