Stefano Donati - PhD Student

"I enjoy combining synthetic and systems biology approaches to understand how bacterial metabolism functions. This is of particular relevance for the engineering of efficient bio-factories.
In particular, in my project I have studied how robust is the primary metabolism of E. coli, by perturbing it with CRISPR interference and analyzing the response at a multi-omics level."

Michelle Kuntz - PhD Student
 

"In my Ph.D. project, I am aiming to further investigate the interactions of metabolism and gene expression by using high-throughput methods. My experiments are based on perturbing gene expression of metabolic genes in pooled strain libraries with CRISPR interference and measuring responses for instance by Next-Generation Sequencing. In combination with data sets of other multi-omics techniques, this will help us to better understand microbial metabolism and to use this knowledge for the generation of fitter production strains."

Niklas Farke - PhD Student
 

"Prior to starting my Ph.D. as computational biologist in Hannes group I obtained my Bachelor's and Master's degrees in Molecular Biotechnology and Industrial Biotechnology at the TU Munich. My research interest is the systems biology of metabolism, especially discovering and comprehending metabolic regulations. To this end, I perform many computational tasks including the analysis of raw mass spectrometry data, mathematical modelling of metabolic networks and machine learning with multi-omics data. Most of the time, I collaborate closely with my wet lab colleagues."

Paul Lubrano PhD Student
 

"I am a French PhD student who studied Biotechnology in Paris (Sup'Biotech). My experience encompasses working in both academic (CEA, MNHN, France) and industrial (Biosyntia, Denmark) sectors mainly in the engineering of micro-organisms for industrial biotechnology. I also participated in the iGEM competition in 2017 (iGEM IONIS). My current project relies on the multi-omics study of essential processes like translation and transcription in Escherichia coli. I hope to develop industrial and medical applications with such approach."

Thorben Schramm - PhD Student
 

"Dynamic control of cellular metabolism and growth is important for innovative bioprocess strategies, e.g. for two-stage processes, and for studying the regulation of  metabolism. In my research, I use temperature-sensitive enzymes to achieve the dynamic control of metabolism and developed a two-stage bioprocess  for citrulline production in 1-L bioreactors (Schramm et al. 2020). On the hunt for temperature-sensitive enzymes, I generate large strain libraries with different contemporary cloning techniques. Combining a single-cell growth rate reporter (TIMER) with flow cytometry, the libraries are screened in high-throughput for the desired temperature-sensitive mutants. With the cutting-edge quantitative LC-MS/MS method (Guder et al. 2017) that we developed, I investigate my production strains but also the strains of our collaborators (Boecker et al., 2019)."

Chun-Ying Wang - PhD Student
 

"I am Chun-Ying, a PhD student working on dynamic control of E. coli to produce chemicals such as glycerol, carotenoids, arginine, etc. I was trained as a molecular biologist at NCHU, Taiwan, but I also have interdisciplinary experience in the polymer of carbon nanotube, microfluidics and marine algae research. I endeavor myself to be an interdisciplinary specialist in the combination of industrial and academic fields to make applicable technology for the world."