Robin Rydbergh

Doctoral Student at Chemical Biology

I currently work with antibiotics, molecular biology and machine learning in Michaela Wenzels group at Chembio.

I combine machine learning and experimental in vitro validation to iteratively direct evolution of peptides that could permeabilize the mycolic-acid barrier of Mycobacterium tuberculosis. These peptides aren’t developed as antibiotics and are rather designed to open the cell envelope, such that existing drugs penetrate better to combat antimicrobial resistance.

 

 

 

Some information about what I recently have worked with:
I have previously done a Master Thesis characterizing the mode of action of a novel antibiotic in Michaela Wenzels group.

As an amanuensis student in Per Malmbergs group I worked with particle pollution characterization through advanced analytical methods such as ToF-SIMS and SEM-EDX.

Additionally, I have worked with human skin tissue models to characterize and better understand the uptake of aluminium found in high concentration in antiperspirants used daily by most of the population.

Finally, I have been driving a pilot project exploring film formats in education at Chalmers. Through collaboration, one channel in swedish and one in english was made where these videos can be found:

https://www.youtube.com/@TheRealLaboratory (English)
https://www.youtube.com/@ILabbet (Swedish)

-Updated 07/10/2025

Source: chalmers.se
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Showing 2 publications

2025

ToF-SIMS analyses of brake wear particles in human epithelial Caco-2 cells

Robin Rydbergh, Lisa-Marie Witte, Jonas Sjöblom et al
Journal of Aerosol Science. Vol. 186
Journal article
2025

Chemical profiling of surviving cancer cells using ToF-SIMS and MCR analysis discriminates cell components

Auraya Manaprasertsak, Robin Rydbergh, Qicheng Wu et al
Analytical Methods. Vol. 17 (10), p. 2263-2272
Journal article

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