Summary
Larisa Soldatova is a Professor and Reader in Data Science at Goldsmiths, University of London with over a decade of experience in biomedical ontologies, ontology engineering, and knowledge-driven automation of science. She combines a strong academic background in applied mathematics and computer science with extensive postdoctoral and fellowship research spanning institutions in the UK, Japan and Russia. Her work focuses on improving data and knowledge sharing, reuse, and interoperability in biomedical domains, and on applying formal knowledge reasoning to make scientific processes more automatable and reproducible. Larisa is comfortable bridging theory and practice, translating complex ontological models into tools and workflows that enable real-world data integration. Colleagues value her for rigorous methodological thinking and for cultivating cross-disciplinary collaborations that connect ontology engineering with data science applications.
12 years of coding experience
PhD, Computer science, PhD, Computer science at Far Eastern State Technical University
MS, Applied mathematics, MS, Applied mathematics at Far Eastern State University
Mongohto, Russia (Far East)