Brenda Thomson

Brenda Thomson serves as a Postdoctoral Research Associate with the academic rank of Research Fellow, specializing in data-driven analysis of scientific field evolution, particularly within origins of life and prebiotic chemistry domains. Her methodological toolkit integrates Natural Language Processing, network analysis, and bibliometric techniques to dissect scientific collaboration dynamics and theoretical development trajectories across research communities.

Her core research spans Data Science, Bibliometrics, Network Science, Natural Language Processing, History of Science, Prebiotic Chemistry, and Astrobiology. She systematically investigates how scientific communities form and evolve through time, mapping intricate connections between researchers, institutions, and theoretical frameworks using computational approaches to scholarly literature.

Analysis of her 2017-2025 publications reveals progressive methodological sophistication in scientific evolution mapping, with increasing integration of planetary science and astrobiology contexts. Her work consistently bridges data integration, visualization technology, and collaborative platform development, demonstrating particular strength in translating bibliometric insights into practical tools for fields ranging from Mars exploration to prebiotic chemistry community analysis.