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    Max Eggersdorfer

    associate director data science, co-lead TRD innovation bei Novartis

    Max Eggersdorfer is a professional in the pharmaceutical industry, currently holding the position of Associate Director Data Science and Co-Lead TRD Innovation at Novartis.1 With a background in process engineering, he specializes in numerical simulations and experimental methods.

    In his role at Novartis, Eggersdorfer is involved in the company's Technology Research & Development (TRD) initiatives, particularly in leading innovation efforts. He is also associated with the TRD academic network, suggesting a focus on fostering collaboration between industry and academia.1

    Given his expertise in data science and process engineering, it's likely that Eggersdorfer's work involves applying advanced analytical techniques to pharmaceutical research and development processes. His position as an Associate Director indicates a senior role with significant responsibilities in guiding data-driven strategies and innovation within Novartis's research and development operations.

    While specific details about his day-to-day responsibilities or notable achievements are not provided in the available information, his role suggests he plays a key part in leveraging data science to drive innovation and improve processes in pharmaceutical research and development at Novartis.

    Related Questions

    What are some of Max Eggersdorfer's notable projects at Novartis?
    How did Max Eggersdorfer transition from process engineering to data science?
    What is the TRD innovation team at Novartis focused on?
    Can you provide examples of Max Eggersdorfer's contributions to numerical simulations?
    What is the role of the TRD academic network at Novartis?