Ongoing grants
ProtAIomics - Confidence prediction of fine-tuned AI peptide property models for single-cell proteomics data analysis

ProtAIomics is a Horizon Europe MSCA Doctoral Network that brings together 15 beneficiaries and 9 associated partners across academia, biotech and big-pharma to train 16 doctoral candidates at the interface of artificial intelligence and mass-spectrometry proteomics. By combining expertise in machine learning, structural biology and systems modelling, the network tackles the entire proteomics value chain—from data acquisition to actionable biomedical insights—while equipping a new generation of researchers with interdisciplinary, industry-relevant skills. Learn about the project at out lab here
EU IHI: NHPig - Reducing Non-Human Primates in Non-Clinical Safety Assessment

NHPig is an EU-funded research project aimed at transforming non-clinical safety assessment by use of mini- and micropig models. The goal is to expand and share biological knowledge on mini- and micropig models and improve the translational understanding between pig models and non-human primates (NHPs) and humans with the possibility to use these pig models as viable alternatives to NHPs in the nonclinical safety testing.
ERC StG: ORIGIN - Learning Isoform Fingerprints to Discover the Molecular Diversity of Life

ORIGIN (Learning Isoform Fingerprints to Discover the Molecular Diversity of Life) aims to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy.
BMBF: DROP2AI - Drug Response Prediction using Proteomics and AI

DROP2AI (Drug Response Prediction using Proteomics and AI) is a BMBF funded project aiming to develop various ML and AI strategies for drug response prediction using proteomics expression data.
Associated grants
Finished grants
EU: EPIC-XS - European Proteomics Infrastructure Consortium providing access
The European Proteomics Infrastructure Consortium providing access (EPIC-XS) consists of a unified network of experienced access providers and research groups. The common goal is to facilitate the development and sustainability of proteomics exploration to all life science researchers within the European Union.
BMBF: DIAS - Data integration, analytics and services in ProteomicsDB
The overarching aims of DIAS are to substantially extend the capabilities of ProteomicsDB, to integrate it with other important resources in the field and to develop a number of computational tools for the benefit of the scientific community.




