Brenda Thomson
Ph.D.
Data science, Natural language processing, Scientific literature
My research interest lies at the intersection of data science, bibliometrics, and prebiotic chemistry. My doctoral thesis focused on leveraging data science methodologies to analyze and understand the evolution of scientific fields, specifically the origins of life and prebiotic chemistry. By utilizing Natural Language Processing (NLP), network analysis, and bibliometric techniques, I have explored the dynamics of scientific collaborations, the historical development of theories, and the intricate networks that connect researchers, institutions, and key concepts within these fields.