Michał Skawiński (M.)

Computational Biology PhD Candidate

 

With the interdisciplinary background in Bioinformatics and Systems Biology, I am on a mission to redefine Inflammatory Bowel Disease diagnosis, leveraging machine learning on microbiome and volatile data from breath and fecal samples. Our research aims also to create a groundbreaking Digital-Twin, for improved IBD monitoring.

Beyond the lab, I am a science communication enthusiast. Whether immersed in podcasts, finding zen through yoga, or crafting plant-based culinary delights, I bring a dynamic and vibrant energy to both research and personal pursuits. 

Expertises

Machine Learning, R programming, Metabolomics, Metagenomics, Data science, Inflammatory Bowel Disease, Gut and Digestive Health

Career history

MSc in Systems Biology at Maastricht University