David W. Beckham is a seasoned data scientist with a strong background in astrophysics and quantitative research. He holds a PhD in Astrophysics from the University of Chicago and completed postdoctoral research at Johns Hopkins University, specializing in cosmology and large-scale astronomical surveys. Transitioning to the industry, David has applied his analytical and machine learning expertise to the biopharmaceutical sector. Currently, as a Senior Data Scientist at Recursion, he leverages advanced data science techniques to drive innovation in drug discovery and development, focusing on areas like high-content imaging and machine learning model development for biological insights. His interdisciplinary journey highlights his adaptability and proficiency in tackling complex data challenges in diverse scientific domains.
David W. Beckham's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored a doctoral thesis at the University of Chicago on cosmological constraints using galaxy clusters from the Dark Energy Survey, contributing to dark energy research.
Successfully leveraged extensive experience in astrophysical data analysis and computational methods to solve complex problems in the biopharmaceutical industry, showcasing adaptability across scientific domains.
Contributes to advancing drug discovery at Recursion by developing and implementing cutting-edge machine learning models and data analysis pipelines for high-content biological data.
University of North Carolina at Greensboro
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