Jane Synnergren

Professor Jane Synnergren at the University of Skövde, Sweden, leads the Translational Bioinformatics research group. With a PhD in Bioinformatics from the University of Gothenburg (2010) and MSc in Computer Sciences from Skövde (2003), she specializes in multi-omics data integration, biomarker discovery, and machine learning applications for stem cell differentiation and cardiovascular disease modeling.

• Develops AI-driven methods for toxicity testing and drug development
• Coordinates 7.5-credit advanced bioinformatics courses
• Collaborates with pharmaceutical industry and stem cell companies

Her research team performs global expression studies across transcriptomics, proteomics, and metabolomics to identify mechanistic insights during stem cell differentiation and discover biomarkers for cardiac repair, diabetic wound healing, and cancer diagnostics. Recent work includes:

• Latent space arithmetic for disease module detection
• Extracellular vesicle RNA transport mechanisms
• Antisense regulation of Titin splicing in sarcomere function

Her projects like AID-PM (AI-Driven Precision Medicine) and TransTissuE focus on AI safety assessment for advanced therapies and personalized vascular transplants. She contributes to bioinformatics standards through editorial and conference roles.