Baiba Vilne

Baiba Vilne serves as PhD Laboratory Manager and Bioinformatics Group Curriculum Validation and Validation Coordination Expert at Rīga Stradiņš University, where she holds a significant research position supervising PhD students and leading major genomic research initiatives. Her ORCID profile (0000-0002-1084-7067) documents extensive scholarly activity with 44 research outputs, 13 active or completed projects, and 5 datasets.

Her research expertise spans bioinformatics, genomics, and cardiovascular genetics, with particular focus on coronary artery disease, hematopoiesis, and exome sequencing applications. Vilne's work bridges computational biology with clinical applications, analyzing genetic variants through genome-wide association studies and mitochondrial DNA analysis to understand disease mechanisms. Her research contributes to UN Sustainable Development Goals related to good health and well-being.

Dr. Vilne's recent publications demonstrate sophisticated analytical approaches to complex genomic datasets, with notable work on mitochondrial DNA variants in coronary artery disease, CDC42 targeting in skeletal degeneration, and genetic factors in cervical insufficiency. Her research methodology emphasizes FAIR data principles and computational reproducibility.

She currently serves as Expert for the Latvian Council of Science in Biological Sciences (2022-2025) and leads multiple significant projects including:

• HiCALS: Hypothalamic mechanisms of High-Calorie intervention in ALS (Partner's coordinator)
• DC4MND: Multidimensional mechanistic investigations in motor neuron disease (Partner's coordinator)
• Towards Improving Coronary Artery Disease Risk Prediction (Supervisor)
• Clonal hematopoiesis research in cardiovascular diseases (Leading expert)

Dr. Vilne actively participates in academic knowledge sharing through conference organization (including 'Genetic Variants Classification' workshops in 2024) and serves as an expert in international research consortia such as the EXPOSE project on metabolic adaptations in aging.