About Me

I am a PhD student in the Synthetic Systems Biology and Nuclear Organization group at the University of Amsterdam under supervision of Hans Westerhoff and Matteo Barberis.

My background is in mathematical biology and my research projects focus on improving the ways computational systems biology can link up different biological functions. We do this through investigating precise timing in the cell cycle and, in parallel, through analyzing metabolic maps to calculate possible impairments or increased functioning of organisms (for precision biotechnology) and individual humans (personalized medicine). See the introductory poster. I am also involved in the SYNPOL project: a collaborative project of the 7th EU RTD Framework Programme.

More detail on the different projects can be found below.

Modeling of precise timing in the cell cycle

In parallel to the metabolic maps, we are developing mathematical models of the cell cycle regulatory network. The aim is to unravel the design principles behind characteristic phenomena of the cell cycle such as the 'waves of cyclins' and the how these oscillations are sustained. Through multiscale modeling we wish to take steps toward the integration of the cell cycle with other cellular processes such as glycolysis, epigenetics and signal transduction.

Metabolic maps and individualized medicine

Over the past years metabolic maps for various organisms, including human metabolic maps (Recon 2), have become available and garnered attention. We will take such genome-wide metabolic maps and calculate possible impairments of organisms or human individuals vis-à-vis desired function. This should provide a work floor for individualized medicine.

See also this introductory video: Future Of Medicine .

The SYNPOL project: metabolic reconstructions of microorganisms to optimize biopolymer synthesis from syngas

I am also involved in the SYNPOL project together with Hans Westerhoff, Malkhey Verma and Samrina Rehman. We are responsible for delivering multiple metabolic reconstructions for several bacteria of interest in order to aid in the optimization of biopolymer production utilizing syngas (CO/H2) as a substrate.

Stochastic two-component signal transduction

This is related to my master's thesis in mathematics at the VU university in Amsterdam under supervision of Bob Planqué and Joost Hulshof. Frank Bruggeman proposed an interesting systems biology project which we titled: "Information processing in stochastic two-component signal transduction". We looked at the application of the linear noise approximation (LNA) to a simple two-component system scheme. The goal is to understand the dependence of the variance of the output Rp in terms of the input L and investigate the consequences for transmission of information through signal transduction.

Currently we are continuing this project with more emphasis on the analytical mathematical calculations.


Occasionally I play the drums, for instance in past formations Fa11 and Unknown Roads. Some cool clips: here and here.

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