Abraham Apfel
Associate Director, Clinical Data Science Eisai Co., Ltd.
Abraham Apfel, Associate Director of Clinical Data Science at Eisai, is a biostatistician specializing in predictive modeling and advanced analytics to support clinical research. He focuses on applying machine learning and statistical methodologies to improve decision-making and patient outcomes. Prior to joining Eisai, he spent nearly seven years at Bristol Myers Squibb in roles of increasing seniority, contributing to data-driven drug development programs. Apfel received his PhD in Biostatistics from the University of Pittsburgh, where he conducted research in high-dimensional data analysis. He is known for translating complex statistical insights into clear, actionable strategies.
Seminars
Tuesday 13th October 2026
Integrating Genomics & Real-World Data to Predict Fam-Trastuzumab Deruxtecan Response in Metastatic Breast Cancer Across HER2 Subtypes
3:00 pm
- Contextualizing the need for ADC patient selection measures to identify optimized patient subpopulations
- Leveraging real-world data and genomics to evaluate associations between somatic mutations and clinical outcomes in metastatic breast cancer patients treated with T-DXd across HER2 subtypes
- Highlighting genomic findings to correlate T-DXd response and support further investigation of PIK3CA as a predictive biomarker of response in the HER2-low subgroup
