The in silico glycomics team

The in silico glycomics group is based on the 10^th floor of the Mærsk tower in sunny Copenhagen, and is part of the Center for Glycomics.

Group members

Funding

Group leader - Hiren Joshi

Hiren Joshi is the group leader of the in silico glycomics team, and is employed by the University of Copenhagen. Hiren learnt how to swear properly after being born in the UK, originally studying Computer Engineering and Biomedical Engineering at UNSW in Australia, and then doing a PhD at the German Cancer Research center in Heidelberg, Germany. Hiren got his first taste for glycobiology working for Proteome Systems in Sydney, Australia, where he put together some of the earliest glycoinformatics tools. Since then, his mission has been to understand glycosylation through the lens of data science – uncovering the hidden patterns associated with glycosylation.

Former group members

PhD student - Leo Dworkin

Leo recently completed his PhD within the in silico glycomics team, where he studied how to predict the glycosylation capacity of organs and cells from transcriptomics, and what the patterns of regulation of the glycosyltransferases are.

Masters thesis

Masters student - Lauge Naur Hansen

Lauge worked on searching for the elusive cytosolic O-mannosyltransferase from yeast, using a combination of wet lab and in silico data science techniques to make predictions as to which enzyme could possibly catalyse that addition of mannose residues onto cytosolic proteins.

Masters student - Casper Blaauw

Casper worked on developing the next generation of predictors of protein O-glycosylation, using language models and machine learning.

Masters thesis

Masters student - Jakob Hartvig Stiesmark

Jakob worked on using language models to build a predictor of protein O-GalNAc type O-glycosylation, using pre-trained language models and machine learning.

Masters thesis