Suvi Linna-Kuosmanen ([email protected])
Suvi Linna-Kuosmanen is a senior scientist at the A.I. Virtanen Institute and a principal investigator and leader of Linna Lab. The lab was established in October 2023 and is currently located at the University of Eastern Finland.
Linna-Kuosmanen uses single-cell and spatial omics, data integration, and machine learning / AI models to identify novel drug targets and biomarkers for clinical applications and more personalized medicine. Her ongoing work combines unique human patient samples and engineered human tissue models with state-of-the-art experimental and computational methods, to elucidate disease mechanisms of major aging-related chronic diseases, as well as aging itself, with special emphasis on coronary artery disease, heart failure, and atrial fibrillation. In addition to mapping molecular changes in clinical samples, she investigates the effects of environmental exposures, such as micro- and nanoplastics, in the cardiac cell and tissue environments to estimate their impact on disease manifestation and progression.
Prior to her current position, Linna-Kuosmanen trained as a postdoctoral researcher mapping cardiovascular disease-associated changes in the cells of ex vivo human heart samples, and establishing high-resolution maps of microvasculature in these clinical samples at the Computer Science and Artificial Intelligence Lab (CSAIL) of Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard, Cambridge, USA. She received her PhD in molecular medicine at the University of Eastern Finland, Kuopio, Finland, where she examined the disease mechanisms and putative biomarkers of atherosclerosis through cardiovascular genomics. Linna-Kuosmanen holds a masters in biochemistry from the University of Kuopio, Finland, and studied neuroscience in honours program at the University of Glasgow during her bachelors stage.
Systems Genomics – Heinäniemi lab
Vincent Biard ([email protected])
I am mainly interested in marine mammals ecology and evolution, notably those from the polar region. In my PhD research, I am combining photo-identification and genomics to study the fidelity patterns of the Saimaa ringed seal.
Vittorio Fortino ([email protected])
I hold a Bachelor’s and Master’s degree in Computer Science, a PhD in Bioinformatics, and a Docentship in Health Bioinformatics. My research is centered on developing and implementing machine learning, heuristic optimization, and network data mining algorithms to tackle the principal computational challenges inherent in the precision medicine (PM) approach. PM is dedicated to the integration of molecular markers with conventional clinical data to customize medical treatment and enhance patient outcomes. My team’s current projects include: 1) patient stratification utilizing both single- and multi-view datasets, facilitated by deep learning, dimensionality reduction, and knowledge-driven clustering analyses; 2) biomarker identification through the analysis of extensive genomics data, applying metaheuristic techniques for feature selection, and; 3) the creation of network data mining algorithms aimed at discovering drug targets and repurposing existing drugs. Our work is pivotal in translating complex biological data into actionable insights for PM, ultimately aiming to optimize individual patient care.