Gregory Desouza

An experienced information scientist with over four years of expertise in leveraging data to enhance oncology business intelligence. Proven success in implementing AI-driven automation and extraction workflows to deliver actionable insights into competitor milestones. Contributed to a publication showcasing an AI algorithm's ability to extract cancer-specific data from drug approvals, currently investigating methods to manage language complexity impacting AI.

• Developed a user query logger, reducing downtime of in-house business intelligence tools by 30%.
• Contributed to a publication showcasing AI for extracting patient population information.
• Implemented automation workflows and standardised clinical endpoints for business intelligence.
• Investigated the impact of entity complexity on a large language model (LLM), improving the score by 44%.

• MSc Data Science & AI
• BSc Biomedical Science