Abraham Apfel is currently the Associate Director of Clinical Data Science at Eisai, where they focus on delivering quality science for improved patient outcomes. They are a biostatistician with expertise in predictive modeling and machine learning, specializing in various statistical techniques. Previously, Abraham conducted PhD research at the University of Pittsburgh, collaborating with interdisciplinary teams and developing analytical methods for high-dimensional data. Their experience includes roles at Bristol Myers Squibb and Parallax Clinical Research, where they supported clinical trials through rigorous data analysis. Abraham earned their Doctor of Philosophy in Biostatistics from the University of Pittsburgh.
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