Emmi Tikkanen

Oncology RWE Scientist, Global Medical Evidence Generation Pfizer

Emmi Tikkanen is Oncology RWE Scientist in Global Medical Evidence Generation at Pfizer, where she applies real-world data, epidemiology, and advanced analytics to support evidence generation across oncology. With more than 18 years of experience spanning RWD/RWE, genomics, and epidemiology, she brings a multidisciplinary perspective to the use of complex data in healthcare and pharmaceutical research.

Prior to her current role, Emmi served as Pfizer’s RWE Lead for Finland and Senior Medical Affairs Data Expert, leading data-driven evidence initiatives and collaborating across Medical Affairs and Digital teams. Her expertise includes enterprise-scale evidence generation, federated analyses, multi-omics analytics, statistical programming, high-performance computing, and AI model development. She is particularly interested in translating emerging data science approaches into robust, practical evidence that can support better decision-making across the drug development lifecycle.

Seminars

Wednesday 10th February 2027
Using AI to Derive Oncology Treatment Patterns From Real-World Data
4:00 pm
  • Explore how AI can be used to derive lines of therapy and treatment patterns from claims data where detailed oncology EMR data is unavailable or difficult to access
  • Share practical learnings from applying AI across different cancer types and patient populations, including how approaches need to adapt to variations in treatment pathways and data availability
  • Examine how AI-derived insights can expand the use of real-world data for oncology research while addressing challenges around validation, data quality and methodological robustness
Emmi Tikkanen - 4th IMPACCT Real World Evidence Summit Europe