Robin Kohze

I am Master student in Data Science (R/Python) and Biochemistry. In my first Master internship I have focussed on studying the molecular impact of the cell surface glycocalyx on the uptake of cell penetrating peptides using state-of-the-arts biochemical/biophysical and molecular approaches, e.g. Fluorescence recovery after photobleaching (FRAP), Atomic force spectroscopy (AFS), high resolution live cell confocal microscopy and cytometry. Molecular dynamics (MD) simulation was used to conceptionalize the interaction between glycosaminoglycans and arginine-rich cell-penetrating peptides. I was involved in the development of the peptide prediction application "Peptify", which was developed and published in cooperation with Hoffmann-La Roche, Basel, one of the top 10 pharmaceutical companies. I developed a new open source Fluorescence Recovery After Photobleaching (FRAP) application, named Frapbot, which has just been published. I am co-founder of the Vaionex Corporation, a young datascience & biotech startup. At the moment, I am performing my second Master internship at the University of Cambridge, Cambridge Centre for Proteomics, Computational Proteomics Unit (Laurent Gatto group) aiming to develop a new infrastructure to facilitate the dissemination of spatial proteomics data.

Find more information about my work here.

September 2017