Stefan van den Berg

Computational biologist 

Wet lab techniques as culturing, genetic editing, sampling, digestion, enzyme kinetic experiments, bio-assays.

Dry lab skills such as Python programming, next-generation sequencing, metabolic modelling, data analysis.

And LC-MS (Liquid Chromatography Mass Spectrometry) experience, with operating and partially method development. 

Msc Life Sciences & Technology at Delft University of Technology. A continuation of the bachelor, with aim on applications of biotechnology. The core of this master was a Cell Factory specialization, focusing on the theoretical metabolic reprogramming of organisms to produce valuable compounds. An important aspect was acquiring of state-of-the-art knowledge of literature and to apply this in industrial case studies. One of these was the Design Project, were teams of students had to create a plant to valuarize the acid whey, a waste stream of the dairy industry, for the corporation Danone. 

Master end project: Demonstration of the controlled balance between essential membrane components via a modelling approach. My work at the Greg Bokinsky lab was focused on the interconnection of regulatory networks within metabolic pathways related to membrane synthesis, utilizing both proteomics and metabolomics. In more detail, it involved the metabolic modelling of the fatty acid synthesis, which are incorporated into lipopolysaccharides and phospholipids. Important wet lab skills acquired were culturing, sampling, digestion of samples and analysis with LC-MS (Liquid Chromatography Mass Spectrometry). Dry lab work included analysis of the data and metabolic modelling using Python scripts.