Interested in NMR data handling in academia and in exploring ways that enable chemists to ‘read’ and handle NMR experiments in an adequate fashion.

Johannes Liermann has a background in organic and natural product chemistry and works as NMR spectroscopist at the Johannes Gutenberg University Mainz. He takes a strong interest in the digitization of spectroscopic and other research data and is a member of the steering committe in the German National Resarch Data Infrastructure consortium NFDI4Chem.

Trained as an NMR spectroscopist to develop new experiments, I became interested in the fate of the data generated by these amazing spectrometers, and thus dedicated the last two decades to providing efficient solution to manipulate, analyze and eventually publish these data so they could be trusted and reused by others.

I’m a software engineer. Coding is my life. The golden rule that I follow in my life: always leave the comfort zone because it's like shackles that prevent you to move forward and be sure that life without challenges is boring.

I graduated as a bioinformatician, and I like to bring questions in nature science together with solutions in computer science and to provide open-source software solutions. Currently, as a doctoral candidate, I am working on a system for computer-assisted structure elucidation which is based on NMR data.

After 20 years of academic research in NMR methodology applied to small molecule (University of Geneva), and the success of the NMReDATA Initiative, I shifted my activity to the field of chemistry data and automated analysis of NMR data. I contributed to NMRium with a node module implementing the algorithm of multiplet-structure deconvolution as developed in the 90’s in the group of Geoffrey Bodenhausen.

Graduated in Physical Chemistry at UNLP. My areas of interest are data analysis and deep learning.