I am working on metabolic modeling of arctic microorganisms.
Using a modeling-guided biotechnological engineering approach, I want to identify optimal growth conditions for the production of desired polymers.
The ultimate goal is to turn waste material into industrial products.
This is challenging as the pathways are central, complex, as well as poorly understood and characterized so far.
Experimental partners will be providing initial results that will be integrated into our modeling approach.
In turn, I hope to improve and speed up experimental design, turning the current screening based approach into efficient targeted engineering.
Besides multi-level metabolic modeling, the project also includes a comparative approach to better understand the pathways involved, especially those determining product composition.
I teach in a variety of courses related to Bioinformatics, Biotechnology, and Biochemistry.
Modeling in Systems Biology
Genome Sequencing, Sequence alignment, and Metagenomics
Python for the life sciences
My work involves mathematical models in Biology and Medicine.
I integrate these models with methods and tools from bioinformatics and biostatistics.
With these tools I hope to contribute to a better understanding of metabolism - for Biotechnology, Medicine, and foundational Biochemistry.
Biotechnological models for production of Bioplastics
I am part of a group effort to optimize bacteria for the production of industrially valuable material from biological waste.
Models of microbial communities, primarily focused on Arctic soil microbiome
I develop bioinformatic methods to better model metabolic communities. The practical example I work on is a model of an Arctic Soil Microbiome.
Combining statistical and mechanistic modeling tools
My work combines mechanistic understanding from metabolic models with statistical analyses of differential gene expression.